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AVSS
2005
IEEE
13 years 11 months ago
A multi-feature object association framework for overlapped field of view multi-camera video surveillance systems
This work describes a data fusion technique to improve performances in objects localization and tracking for automatic video surveillance systems. The developed strategy is design...
Stefano Piva, Alessandro Calbi, Daniele Angiati, C...
MVA
2008
122views Computer Vision» more  MVA 2008»
13 years 5 months ago
Thermo-visual feature fusion for object tracking using multiple spatiogram trackers
In this paper, we propose a framework that can efficiently combine features for robust tracking based on fusing the outputs of multiple spatiogram trackers. This is achieved withou...
Ciarán O Conaire, Noel E. O'Connor, Alan F....
AVSS
2005
IEEE
13 years 11 months ago
Rank-based multisensory fusion in multitarget video tracking
An attractive approach to improve tracking performance for visual surveillance is to use information from multiple visual sensory cues such as position, color, shape, etc. Previou...
Damian M. Lyons, D. Frank Hsu
ICPR
2006
IEEE
13 years 11 months ago
Part Based Human Tracking In A Multiple Cues Fusion Framework
This paper presents a real time video surveillance system which is capable of tracking multiple humans simultaneously. To better deal with various challenging issues such as occlu...
Qi Zhao, Jinman Kang, Hai Tao, Wei Hua

Publication
353views
13 years 6 months ago
Online Multi-Person Tracking-by-Detection from a Single, Uncalibrated Camera
In this paper, we address the problem of automatically detecting and tracking a variable number of persons in complex scenes using a monocular, potentially moving, uncalibrated ca...
Michael D. Breitenstein, Fabian Reichlin, Bastian ...