ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Multi-View Head Pose Estimation using Neural Networks
CRV '05 Proceedings of the 2nd Canadian conference on Computer and Robot Vision
A joint particle filter for audio-visual speaker tracking
ICMI '05 Proceedings of the 7th international conference on Multimodal interfaces
Evaluating Multi-Object Tracking
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
Multimodal Technologies for Perception of Humans: First International Evaluation Workshop on Classification of Events, Activities and Relationships, CLEAR ... Papers (Lecture Notes in Computer Science)
ETISEO, performance evaluation for video surveillance systems
AVSS '07 Proceedings of the 2007 IEEE Conference on Advanced Video and Signal Based Surveillance
Multimodal Technologies for Perception of Humans
Probabilistic integration of sparse audio-visual cues for identity tracking
MM '08 Proceedings of the 16th ACM international conference on Multimedia
A Sampling Algorithm for Occlusion Robust Multi Target Detection
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
A human-machine collaborative approach to tracking human movement in multi-camera video
Proceedings of the ACM International Conference on Image and Video Retrieval
Dynamic multi-cue tracking with detection responses association
Proceedings of the international conference on Multimedia
Place-dependent people tracking
International Journal of Robotics Research
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
Detection of human groups in videos
ACIVS'11 Proceedings of the 13th international conference on Advanced concepts for intelligent vision systems
Person re-identification in TV series using robust face recognition and user feedback
Multimedia Tools and Applications
Multi-target tracking in crowded scenes
DAGM'11 Proceedings of the 33rd international conference on Pattern recognition
Comparison of laser-based person tracking at feet and upper-body height
KI'11 Proceedings of the 34th Annual German conference on Advances in artificial intelligence
Shadow detection: A survey and comparative evaluation of recent methods
Pattern Recognition
Multi-robot multiple hypothesis tracking for pedestrian tracking
Autonomous Robots
Resolving the ambiguity of real-time multiple object tracking using static cameras
International Journal of Intelligent Systems Technologies and Applications
Scene Aware Detection and Block Assignment Tracking in crowded scenes
Image and Vision Computing
Backtracking: Retrospective multi-target tracking
Computer Vision and Image Understanding
Automatic estimation of movement statistics of people
AMDO'12 Proceedings of the 7th international conference on Articulated Motion and Deformable Objects
Extended MHT algorithm for multiple object tracking
Proceedings of the 4th International Conference on Internet Multimedia Computing and Service
Radar-based road-traffic monitoring in urban environments
Digital Signal Processing
Multiple human tracking in high-density crowds
Image and Vision Computing
State-driven particle filter for multi-person tracking
ACIVS'12 Proceedings of the 14th international conference on Advanced Concepts for Intelligent Vision Systems
Two-granularity tracking: mediating trajectory and detection graphs for tracking under occlusions
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
To track or to detect? an ensemble framework for optimal selection
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
Multi-modal people tracking for an awareness behavior of an interactive tour-guide robot
ICIRA'12 Proceedings of the 5th international conference on Intelligent Robotics and Applications - Volume Part II
Multi-person tracking-by-detection based on calibrated multi-camera systems
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
Online blind speech separation using multiple acoustic speaker tracking and time-frequency masking
Computer Speech and Language
Multiple target tracking using frame triplets
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
Iterative hypothesis testing for multi-object tracking with noisy/missing appearance features
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume 2
Game-theoretical occlusion handling for multi-target visual tracking
Pattern Recognition
Tracking with a mixed continuous-discrete Conditional Random Field
Computer Vision and Image Understanding
Multi-target tracking on confidence maps: An application to people tracking
Computer Vision and Image Understanding
Cooperative passers-by tracking with a mobile robot and external cameras
Computer Vision and Image Understanding
A comparative study on multi-person tracking using overlapping cameras
ICVS'13 Proceedings of the 9th international conference on Computer Vision Systems
Automatic parameter adaptation for multi-object tracking
ICVS'13 Proceedings of the 9th international conference on Computer Vision Systems
A non-command interface for automatic document provision during meetings
Proceedings of the companion publication of the 19th international conference on Intelligent User Interfaces
Tracking-by-detection of multiple persons by a resample-move particle filter
Machine Vision and Applications
Pattern Recognition Letters
Editor's Choice Article: A survey of approaches and trends in person re-identification
Image and Vision Computing
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Simultaneous tracking of multiple persons in real-world environments is an active research field and several approaches have been proposed, based on a variety of features and algorithms. Recently, there has been a growing interest in organizing systematic evaluations to compare the various techniques. Unfortunately, the lack of common metrics for measuring the performance of multiple object trackers still makes it hard to compare their results. In this work, we introduce two intuitive and general metrics to allow for objective comparison of tracker characteristics, focusing on their precision in estimating object locations, their accuracy in recognizing object configurations and their ability to consistently label objects over time. These metrics have been extensively used in two large-scale international evaluations, the 2006 and 2007 CLEAR evaluations, to measure and compare the performance of multiple object trackers for a wide variety of tracking tasks. Selected performance results are presented and the advantages and drawbacks of the presented metrics are discussed based on the experience gained during the evaluations.