Bio-Inspired Functional Asymmetry Camera System
Neural Information Processing
Detection and classification of human movements in video scenes
PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
People counting in low density video sequences
PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
Detecting and recognizing abandoned objects in crowded environments
ICVS'08 Proceedings of the 6th international conference on Computer vision systems
Multichannel dual domain infrared target tracking for highly evolutionary target signatures
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A reliable event-driven strategy for real-time multiple object tracking using static cameras
Advances in Multimedia
Resolving the ambiguity of real-time multiple object tracking using static cameras
International Journal of Intelligent Systems Technologies and Applications
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The objective of this paper is to track moving objects using dynamic template initializations and updates, and to identify tracking events in videos such as occlusions and merging of motion regions. The proposed tracking method is based on spatiotemporal texture motion regions, image alignment, and minimum cost estimation based template selection. The dynamic template update is based on the detection of events in videos. The proposed method has been experimentally evaluated on color and thermal infrared videos.