Tracking the multi person wandering visual focus of attention
Proceedings of the 8th international conference on Multimodal interfaces
Evaluating multiple object tracking performance: the CLEAR MOT metrics
Journal on Image and Video Processing - Regular
Efficient content analysis engine for visual surveillance network
IEEE Transactions on Circuits and Systems for Video Technology
Illumination invariant foreground detection using multi-subspace learning
International Journal of Knowledge-based and Intelligent Engineering Systems
Data association and occlusion handling for vision-based people tracking by mobile robots
Robotics and Autonomous Systems
2D multi-person tracking: a comparative study in AMI meetings
CLEAR'06 Proceedings of the 1st international evaluation conference on Classification of events, activities and relationships
Evaluating descriptors performances for object tracking on natural video data
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
Online subjective feature selection for occlusion management in tracking applications
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
PerMIS '09 Proceedings of the 9th Workshop on Performance Metrics for Intelligent Systems
Logic-based trajectory evaluation in videos
KI'10 Proceedings of the 33rd annual German conference on Advances in artificial intelligence
Person re-identification in TV series using robust face recognition and user feedback
Multimedia Tools and Applications
Performance evaluation of object detection and tracking in video
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Audio-Visual processing in meetings: seven questions and current AMI answers
MLMI'06 Proceedings of the Third international conference on Machine Learning for Multimodal Interaction
Multi-person tracking in meetings: a comparative study
MLMI'06 Proceedings of the Third international conference on Machine Learning for Multimodal Interaction
Performance evaluation of text detection and tracking in video
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
Backtracking: Retrospective multi-target tracking
Computer Vision and Image Understanding
Symmetry-driven accumulation of local features for human characterization and re-identification
Computer Vision and Image Understanding
Covariance descriptor multiple object tracking and re-identification with colorspace evaluation
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume 2
Scale modification through particle distribution in colour based tracking
Proceedings of the 10th European Conference on Visual Media Production
| Hi-index | 0.00 |
Multiple object tracking (MOT) is an active and challenging research topic. Many different approaches to the MOT problem exist, yet there is little agreement amongst the community on how to evaluate or compare these methods, and the amount of literature addressing this problem is limited. The goal of this paper is to address this issue by providing a comprehensive approach to the empirical evaluation of tracking performance. To that end, we explore the tracking characteristics important to measure in a real-life application, focusing on configuration (the number and location of objects in a scene) and identification (the consistent labeling of objects over time), and define a set of measures and a protocol to objectively evaluate these characteristics.