Taking Mobile Multi Object Tracking To The Next Level

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Taking Mobile Multi-Object Tracking to the Next Level

Author : Dennis Mitzel
Publisher :
ISBN 13 : 9783844025248
Total Pages : 198 pages
Book Rating : 4.0/5 (252 download)

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Book Synopsis Taking Mobile Multi-Object Tracking to the Next Level by : Dennis Mitzel

Download or read book Taking Mobile Multi-Object Tracking to the Next Level written by Dennis Mitzel and published by . This book was released on 2014 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent years have seen considerable progress in automotive safety and autonomous navigation applications, fueled by the remarkable advance of individual Computer Vision components, such as object detection, tracking, stereo and visual odometry. The goal in such applications is to automatically infer semantic understanding from the environment, observed from a moving vehicle equipped with a camera system. The pedestrian detection and tracking components constitute an actively researched part in scene understanding, important for safe navigation, path planning, and collision avoidance. Classical tracking-by-detection approaches require a robust object detector that needs to be executed in every frame. However, the detector is typically the most computationally expensive component, especially if more than one object class needs to be detected. A first goal of this thesis was to develop a vision system based on stereo camera input that is able to detect and track multiple pedestrians in real-time. To this end, we propose a hybrid tracking system that combines a computationally cheap low-level tracker with a more complex high-level tracker. The low-level trackers are either based on level-set segmentation or stereo range data together with a point registration algorithm and are employed in order to follow individual pedestrians over time, starting from an initial object detection. In order to cope with drift and to bridge occlusions that cannot be resolved by low-level trackers, the resulting tracklet outputs are fed to a high-level multihypothesis tracker, which performs longer-term data association. With this integration we obtain a real-time tracking framework by reducing object detector applications to fewer frames or even to few small image regions when stereo data is available. Reduction of expensive detector evaluations is especially relevant for the deployment on mobile platforms, where real-time performance is crucial and computational resources are notoriously

Computer Vision – ECCV 2012

Author : Andrew Fitzgibbon
Publisher : Springer
ISBN 13 : 3642337155
Total Pages : 897 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Computer Vision – ECCV 2012 by : Andrew Fitzgibbon

Download or read book Computer Vision – ECCV 2012 written by Andrew Fitzgibbon and published by Springer. This book was released on 2012-09-26 with total page 897 pages. Available in PDF, EPUB and Kindle. Book excerpt: The seven-volume set comprising LNCS volumes 7572-7578 constitutes the refereed proceedings of the 12th European Conference on Computer Vision, ECCV 2012, held in Florence, Italy, in October 2012. The 408 revised papers presented were carefully reviewed and selected from 1437 submissions. The papers are organized in topical sections on geometry, 2D and 3D shapes, 3D reconstruction, visual recognition and classification, visual features and image matching, visual monitoring: action and activities, models, optimisation, learning, visual tracking and image registration, photometry: lighting and colour, and image segmentation.

Computer Vision – ECCV 2020

Author : Andrea Vedaldi
Publisher : Springer Nature
ISBN 13 : 3030584526
Total Pages : 856 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Computer Vision – ECCV 2020 by : Andrea Vedaldi

Download or read book Computer Vision – ECCV 2020 written by Andrea Vedaldi and published by Springer Nature. This book was released on 2020-11-03 with total page 856 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic. The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.

Vision-based Pedestrian Protection Systems for Intelligent Vehicles

Author : David Gerónimo
Publisher : Springer Science & Business Media
ISBN 13 : 1461479878
Total Pages : 118 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Vision-based Pedestrian Protection Systems for Intelligent Vehicles by : David Gerónimo

Download or read book Vision-based Pedestrian Protection Systems for Intelligent Vehicles written by David Gerónimo and published by Springer Science & Business Media. This book was released on 2013-08-31 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pedestrian Protection Systems (PPSs) are on-board systems aimed at detecting and tracking people in the surroundings of a vehicle in order to avoid potentially dangerous situations. These systems, together with other Advanced Driver Assistance Systems (ADAS) such as lane departure warning or adaptive cruise control, are one of the most promising ways to improve traffic safety. By the use of computer vision, cameras working either in the visible or infra-red spectra have been demonstrated as a reliable sensor to perform this task. Nevertheless, the variability of human’s appearance, not only in terms of clothing and sizes but also as a result of their dynamic shape, makes pedestrians one of the most complex classes even for computer vision. Moreover, the unstructured changing and unpredictable environment in which such on-board systems must work makes detection a difficult task to be carried out with the demanded robustness. In this brief, the state of the art in PPSs is introduced through the review of the most relevant papers of the last decade. A common computational architecture is presented as a framework to organize each method according to its main contribution. More than 300 papers are referenced, most of them addressing pedestrian detection and others corresponding to the descriptors (features), pedestrian models, and learning machines used. In addition, an overview of topics such as real-time aspects, systems benchmarking and future challenges of this research area are presented.

Computer Vision – ECCV 2022

Author : Shai Avidan
Publisher : Springer Nature
ISBN 13 : 3031200470
Total Pages : 828 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Computer Vision – ECCV 2022 by : Shai Avidan

Download or read book Computer Vision – ECCV 2022 written by Shai Avidan and published by Springer Nature. This book was released on 2022-10-22 with total page 828 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.

Compact Environment Modelling from Unconstrained Camera Platforms

Author : Schwarze, Tobias
Publisher : KIT Scientific Publishing
ISBN 13 : 373150801X
Total Pages : 158 pages
Book Rating : 4.7/5 (315 download)

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Book Synopsis Compact Environment Modelling from Unconstrained Camera Platforms by : Schwarze, Tobias

Download or read book Compact Environment Modelling from Unconstrained Camera Platforms written by Schwarze, Tobias and published by KIT Scientific Publishing. This book was released on 2018-09-25 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mobile robotic systems need to perceive their surroundings in order to act independently. In this work a perception framework is developed which interprets the data of a binocular camera in order to transform it into a compact, expressive model of the environment. This model enables a mobile system to move in a targeted way and interact with its surroundings. It is shown how the developed methods also provide a solid basis for technical assistive aids for visually impaired people.

Intelligent Planning for Mobile Robotics: Algorithmic Approaches

Author : Tiwari, Ritu
Publisher : IGI Global
ISBN 13 : 1466620757
Total Pages : 320 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Intelligent Planning for Mobile Robotics: Algorithmic Approaches by : Tiwari, Ritu

Download or read book Intelligent Planning for Mobile Robotics: Algorithmic Approaches written by Tiwari, Ritu and published by IGI Global. This book was released on 2012-09-30 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robotics is an ever-expanding field and intelligent planning continues to play a major role. Given that the intention of mobile robots is to carry out tasks independent from human aid, robot intelligence is needed to make and plan out decisions based on various sensors. Planning is the fundamental activity that implements this intelligence into the mobile robots to complete such tasks. Understanding problems, challenges, and solutions to path planning and how it fits in is important to the realm of robotics. Intelligent Planning for Mobile Robotics: Algorithmic Approaches presents content coverage on the basics of artificial intelligence, search problems, and soft computing approaches. This collection of research provides insight on both robotics and basic algorithms and could serve as a reference book for courses related to robotics, special topics in AI, planning, applied soft computing, applied AI, and applied evolutionary computing. It is an ideal choice for research students, scholars, and professors alike.

Multi-Object Tracking and Person Analysis from Mobile Robot Platforms

Author : Stefan Breuers
Publisher :
ISBN 13 : 9783844072839
Total Pages : pages
Book Rating : 4.0/5 (728 download)

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Book Synopsis Multi-Object Tracking and Person Analysis from Mobile Robot Platforms by : Stefan Breuers

Download or read book Multi-Object Tracking and Person Analysis from Mobile Robot Platforms written by Stefan Breuers and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Object Tracking Technology

Author : Ashish Kumar
Publisher : Springer Nature
ISBN 13 : 9819932882
Total Pages : 280 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Object Tracking Technology by : Ashish Kumar

Download or read book Object Tracking Technology written by Ashish Kumar and published by Springer Nature. This book was released on 2023-10-27 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the increase in urban population, it became necessary to keep track of the object of interest. In favor of SDGs for sustainable smart city, with the advancement in technology visual tracking extends to track multi-target present in the scene rather estimating location for single target only. In contrast to single object tracking, multi-target introduces one extra step of detection. Tracking multi-target includes detecting and categorizing the target into multiple classes in the first frame and provides each individual target an ID to keep its track in the subsequent frames of a video stream. One category of multi-target algorithms exploits global information to track the target of the detected target. On the other hand, some algorithms consider present and past information of the target to provide efficient tracking solutions. Apart from these, deep leaning-based algorithms provide reliable and accurate solutions. But, these algorithms are computationally slow when applied in real-time. This book presents and summarizes the various visual tracking algorithms and challenges in the domain. The various feature that can be extracted from the target and target saliency prediction is also covered. It explores a comprehensive analysis of the evolution from traditional methods to deep learning methods, from single object tracking to multi-target tracking. In addition, the application of visual tracking and the future of visual tracking can also be introduced to provide the future aspects in the domain to the reader. This book also discusses the advancement in the area with critical performance analysis of each proposed algorithm. This book will be formulated with intent to uncover the challenges and possibilities of efficient and effective tracking of single or multi-object, addressing the various environmental and hardware challenges. The intended audience includes academicians, engineers, postgraduate students, developers, professionals, military personals, scientists, data analysts, practitioners, and people who are interested in exploring more about tracking.· Another projected audience are the researchers and academicians who identify and develop methodologies, frameworks, tools, and applications through reference citations, literature reviews, quantitative/qualitative results, and discussions.

Feature-Based Probabilistic Data Association for Video-Based Multi-Object Tracking

Author : Grinberg, Michael
Publisher : KIT Scientific Publishing
ISBN 13 : 3731507811
Total Pages : 296 pages
Book Rating : 4.7/5 (315 download)

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Book Synopsis Feature-Based Probabilistic Data Association for Video-Based Multi-Object Tracking by : Grinberg, Michael

Download or read book Feature-Based Probabilistic Data Association for Video-Based Multi-Object Tracking written by Grinberg, Michael and published by KIT Scientific Publishing. This book was released on 2018-08-10 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work proposes a feature-based probabilistic data association and tracking approach (FBPDATA) for multi-object tracking. FBPDATA is based on re-identification and tracking of individual video image points (feature points) and aims at solving the problems of partial, split (fragmented), bloated or missed detections, which are due to sensory or algorithmic restrictions, limited field of view of the sensors, as well as occlusion situations.

Online Multi-person Tracking Using Feature-less Location Measurements

Author : Emad William Farag
Publisher :
ISBN 13 :
Total Pages : 67 pages
Book Rating : 4.:/5 (11 download)

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Book Synopsis Online Multi-person Tracking Using Feature-less Location Measurements by : Emad William Farag

Download or read book Online Multi-person Tracking Using Feature-less Location Measurements written by Emad William Farag and published by . This book was released on 2016 with total page 67 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis presents a scalable real-time multi-object tracking system based on feature-less location measurements. The thesis introduces a two-stage object tracking algorithm along with a server infrastructure that allows users to view the tracking results live, replay old frames, or compute long-term analytics based on the tracking results. In the first tracking stage, consecutive measurements are connected to form short tracklets using an algorithm based on MHT. In the second stage, the tracklets are connected to form longer tracks in an algorithm that reduces the tracking problem to a minimum-cost flow problem. The system infrastructure allows for a large number of connected devices or sensors while reducing the possible points of failure. The tracking algorithms are evaluated in a controlled environment and in a daylong experiment in a real setting. In the latter, the number of people detected by the tracking algorithms was correct 83% of the time when tracking was done using noisy motion-based measurements.

Innovative Research in Attention Modeling and Computer Vision Applications

Author : Pal, Rajarshi
Publisher : IGI Global
ISBN 13 : 146668724X
Total Pages : 475 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Innovative Research in Attention Modeling and Computer Vision Applications by : Pal, Rajarshi

Download or read book Innovative Research in Attention Modeling and Computer Vision Applications written by Pal, Rajarshi and published by IGI Global. This book was released on 2015-10-02 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robotics and autonomous systems can aid disabled individuals in daily living or make a workplace more productive, but these tools are only as effective as the technology behind them. Robotic systems must be able to accurately identify and act upon elements in their environment to be effective in performing their duties. Innovative Research in Attention Modeling and Computer Vision Applications explores the latest research in image processing and pattern recognition for use in robotic real-time cryptography and surveillance applications. This book provides researchers, students, academicians, software designers, and application developers with next-generation insight into the use of computer vision technologies in a variety of industries and endeavors. This premier reference work includes chapters on topics ranging from biometric and facial recognition technologies, to digital image and video watermarking, among many others.

Autonome Mobile Systeme 2005

Author : Paul Levi
Publisher : Springer Science & Business Media
ISBN 13 : 3540302913
Total Pages : 306 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Autonome Mobile Systeme 2005 by : Paul Levi

Download or read book Autonome Mobile Systeme 2005 written by Paul Levi and published by Springer Science & Business Media. This book was released on 2005-11-30 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Das 19. Fachgespräch Autonome Mobile Systeme (AMS 2005) ist ein Forum, das Wissenschaftlerinnen und Wissenschaftlern aus Forschung und Industrie, die auf dem Gebiet der autonomen mobilen Systeme arbeiten, eine Basis für den Gedakenaustausch bietet und wissenschfltiche Diskussionen sowie Kooperationen auf diesem Forschungsgebiet fördert bzw. initiiert. Ausgewählte Beiträge zu den Themen Kooperative Systeme, Bildverarbeitung, Lokalisierung und Kartographierung, Outdoor-Systeme, Fahrerassistenzsysteme, Kognitive Sensordatenverarbeitung, Architekturen und Anwendungen sowie Steuerung und Navigation bilden den Inhalt dieses Bandes.

Opportunities and Challenges for Next-Generation Applied Intelligence

Author : Been-Chian Chien
Publisher : Springer
ISBN 13 : 3540928146
Total Pages : 341 pages
Book Rating : 4.5/5 (49 download)

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Book Synopsis Opportunities and Challenges for Next-Generation Applied Intelligence by : Been-Chian Chien

Download or read book Opportunities and Challenges for Next-Generation Applied Intelligence written by Been-Chian Chien and published by Springer. This book was released on 2009-05-12 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: The term “Artificial Intelligence” has been used since 1956 and has become a very popular research field. Generally, it is the study of the computations that enable a system to perceive, reason and act. In the early days, it was expected to achieve the same intelligent behavior as a human, but found impossible at last. Its goal was thus revised to design and use of intelligent methods to make systems more ef- cient at solving problems. The term “Applied Intelligence” was thus created to represent its practicality. It emphasizes applications of applied intelligent systems to solve real-life problems in all areas including engineering, science, industry, automation, robotics, business, finance, medicine, bio-medicine, bio-informatics, cyberspace, and man-machine interactions. To endow the intelligent behavior of a system, many useful and interesting techniques have been developed. Some of them are even borrowed from the na- ral observation and biological phenomenon. Neural networks and evolutionary computation are two examples of them. Besides, some other heuristic approaches like data mining, adaptive control, intelligent manufacturing, autonomous agents, bio-informatics, reasoning, computer vision, decision support systems, expert s- tems, fuzzy logic, robots, intelligent interfaces, internet technology, planning and scheduling, are also commonly used in applied intelligence.

Computer Vision -- ECCV 2010

Author : Kostas Daniilidis
Publisher : Springer
ISBN 13 : 3642155499
Total Pages : 831 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Computer Vision -- ECCV 2010 by : Kostas Daniilidis

Download or read book Computer Vision -- ECCV 2010 written by Kostas Daniilidis and published by Springer. This book was released on 2010-09-07 with total page 831 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 2010 edition of the European Conference on Computer Vision was held in Heraklion, Crete. The call for papers attracted an absolute record of 1,174 submissions. We describe here the selection of the accepted papers: ? Thirty-eight area chairs were selected coming from Europe (18), USA and Canada (16), and Asia (4). Their selection was based on the following criteria: (1) Researchers who had served at least two times as Area Chairs within the past two years at major vision conferences were excluded; (2) Researchers who served as Area Chairs at the 2010 Computer Vision and Pattern Recognition were also excluded (exception: ECCV 2012 Program Chairs); (3) Minimization of overlap introduced by Area Chairs being former student and advisors; (4) 20% of the Area Chairs had never served before in a major conference; (5) The Area Chair selection process made all possible efforts to achieve a reasonable geographic distribution between countries, thematic areas and trends in computer vision. ? Each Area Chair was assigned by the Program Chairs between 28–32 papers. Based on paper content, the Area Chair recommended up to seven potential reviewers per paper. Such assignment was made using all reviewers in the database including the conflicting ones. The Program Chairs manually entered the missing conflict domains of approximately 300 reviewers. Based on the recommendation of the Area Chairs, three reviewers were selected per paper (with at least one being of the top three suggestions), with 99.

Pixel-level Deep Multi-dimensional Embeddings for Homogeneous Multiple Object Tracking

Author : Mateusz M. Mittek
Publisher :
ISBN 13 : 9781392749401
Total Pages : 0 pages
Book Rating : 4.7/5 (494 download)

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Book Synopsis Pixel-level Deep Multi-dimensional Embeddings for Homogeneous Multiple Object Tracking by : Mateusz M. Mittek

Download or read book Pixel-level Deep Multi-dimensional Embeddings for Homogeneous Multiple Object Tracking written by Mateusz M. Mittek and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of Multiple Object Tracking (MOT) is to locate multiple objects and keep track of their individual identities and trajectories given a sequence of (video) frames. A popular approach to MOT is tracking by detection consisting of two processing components: detection (identification of objects of interest in individual frames) and data association (connecting data from multiple frames). This work addresses the detection component by introducing a method based on semantic instance segmentation, i.e., assigning labels to all visible pixels such that they are unique among different instances. Modern tracking methods often built around Convolutional Neural Networks (CNNs) and additional, explicitly-defined post-processing steps.This work introduces two detection methods that incorporate multi-dimensional embeddings. We train deep CNNs to produce easily-clusterable embeddings for semantic instance segmentation and to enable object detection through pose estimation. The use of embeddings allows the method to identify per-pixel instance membership for both tasks.Our method specifically targets applications that require long-term tracking of homogeneous targets using a stationary camera. Furthermore, this method was developed and evaluated on a livestock tracking application which presents exceptional challenges that generalized tracking methods are not equipped to solve. This is largely because contemporary datasets for multiple object tracking lack properties that are specific to livestock environments. These include a high degree of visual similarity between targets, complex physical interactions, long-term inter-object occlusions, and a fixed-cardinality set of targets.For the reasons stated above, our method is developed and tested with the livestock application in mind and, specifically, group-housed pigs are evaluated in this work. Our method reliably detects pigs in a group housed environment based on the publicly available dataset with 99% precision and 95% using pose estimation and achieves 80% accuracy when using semantic instance segmentation at 50% IoU threshold. Results demonstrate our method's ability to achieve consistent identification and tracking of group-housed livestock, even in cases where the targets are occluded and despite the fact that they lack uniquely identifying features. The pixel-level embeddings used by the proposed method are thoroughly evaluated in order to demonstrate their properties and behaviors when applied to real data.

Data Association for Multi-Object Visual Tracking

Author : Margrit Betke
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1627059431
Total Pages : 122 pages
Book Rating : 4.6/5 (27 download)

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Book Synopsis Data Association for Multi-Object Visual Tracking by : Margrit Betke

Download or read book Data Association for Multi-Object Visual Tracking written by Margrit Betke and published by Morgan & Claypool Publishers. This book was released on 2016-10-11 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the human quest for scientific knowledge, empirical evidence is collected by visual perception. Tracking with computer vision takes on the important role to reveal complex patterns of motion that exist in the world we live in. Multi-object tracking algorithms provide new information on how groups and individual group members move through three-dimensional space. They enable us to study in depth the relationships between individuals in moving groups. These may be interactions of pedestrians on a crowded sidewalk, living cells under a microscope, or bats emerging in large numbers from a cave. Being able to track pedestrians is important for urban planning; analysis of cell interactions supports research on biomaterial design; and the study of bat and bird flight can guide the engineering of aircraft. We were inspired by this multitude of applications to consider the crucial component needed to advance a single-object tracking system to a multi-object tracking system—data association. Data association in the most general sense is the process of matching information about newly observed objects with information that was previously observed about them. This information may be about their identities, positions, or trajectories. Algorithms for data association search for matches that optimize certain match criteria and are subject to physical conditions. They can therefore be formulated as solving a "constrained optimization problem"—the problem of optimizing an objective function of some variables in the presence of constraints on these variables. As such, data association methods have a strong mathematical grounding and are valuable general tools for computer vision researchers. This book serves as a tutorial on data association methods, intended for both students and experts in computer vision. We describe the basic research problems, review the current state of the art, and present some recently developed approaches. The book covers multi-object tracking in two and three dimensions. We consider two imaging scenarios involving either single cameras or multiple cameras with overlapping fields of view, and requiring across-time and across-view data association methods. In addition to methods that match new measurements to already established tracks, we describe methods that match trajectory segments, also called tracklets. The book presents a principled application of data association to solve two interesting tasks: first, analyzing the movements of groups of free-flying animals and second, reconstructing the movements of groups of pedestrians. We conclude by discussing exciting directions for future research.