W4: Real-Time Surveillance of People and Their Activities
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mean Shift, Mode Seeking, and Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Region-Based Tracking in an Image Sequence
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Contour Tracking by Stochastic Propagation of Conditional Density
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Non-parametric Model for Background Subtraction
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Moving Target Classification and Tracking from Real-time Video
WACV '98 Proceedings of the 4th IEEE Workshop on Applications of Computer Vision (WACV'98)
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
ICIIS '99 Proceedings of the 1999 International Conference on Information Intelligence and Systems
Candid Covariance-Free Incremental Principal Component Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Dynamic Bayesian Network Approach to Multi-cue based Visual Tracking
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Collaborative and reconfigurable object tracking
The Journal of Supercomputing
Real Time Limb Tracking with Adaptive Model Selection
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
ACM Computing Surveys (CSUR)
Video object tracking using adaptive Kalman filter
Journal of Visual Communication and Image Representation
A Contour-Based Moving Object Detection and Tracking
ICCCN '05 Proceedings of the 14th International Conference on Computer Communications and Networks
Rao-Blackwellised particle filter for tracking with application in visual surveillance
ICCCN '05 Proceedings of the 14th International Conference on Computer Communications and Networks
Location Prediction for Tracking Moving Objects Based on Grey Theory
FSKD '07 Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 02
A Probabilistic Prediction Method for Object Contour Tracking
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
Improved Object Tracking Algorithm Based on New HSV Color Probability Model
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II
Using Fuzzy C-means Cluster for Histogram-Based Color Image Segmentation
ITCS '09 Proceedings of the 2009 International Conference on Information Technology and Computer Science - Volume 01
Perceptually inspired image estimation and enhancement
Perceptually inspired image estimation and enhancement
Moving object contour detection based on S-T characteristics in surveillance
Proceedings of the 2007 conference on Human interface: Part I
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Video tracking can be defined as an action which can estimate the trajectory of an object in the image plane as it moves within a scene. A tracker assigns consistent labels to the tracked objects in different frames of a video. The objective of this paper is to provide information on the present state of the art and to discuss future trends in the use of multi-camera tracking systems. In the literature, three main types of multi-camera tracking system have been outlined. The first type relies on challenges in the camera tracking system. The second concerns the methodology of tracking systems in general. The third type relies on current trends in camera tracking systems. We provide an overview of the current research status by summarizing promising avenues for further research.