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» Boosting Object Detection Using Feature Selection
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CVPR
2007
IEEE
16 years 6 months ago
Modelling Objects using Distribution and Topology of Multiscale Region Pairs
We propose a method for simultaneous detection, localization and segmentation of objects of a known category. We show that this is possible by using segments as features. To this ...
Himanshu Arora, Narendra Ahuja
TCSV
2008
155views more  TCSV 2008»
15 years 4 months ago
Heterogeneous Fusion of Omnidirectional and PTZ Cameras for Multiple Object Tracking
Dual-camera systems have been widely used in surveillance because of the ability to explore the wide field of view (FOV) of the omnidirectional camera and the wide zoom range of th...
Chung-Hao Chen, Yi Yao, David Page, Besma R. Abidi...
ACCV
2006
Springer
15 years 10 months ago
Object Tracking Using Background Subtraction and Motion Estimation in MPEG Videos
We present a fast and robust method for moving object tracking directly in the compressed domain using features available in MPEG videos. DCT domain background subtraction in Y pla...
Ashwani Aggarwal, Susmit Biswas, Sandeep Singh, Sh...
ICASSP
2011
IEEE
14 years 8 months ago
Flame detection method in video using covariance descriptors
Video fire detection system which uses a spatio-temporal covariance matrix of video data is proposed. This system divides the video into spatio-temporal blocks and computes covar...
Yusuf Hakan Habiboglu, Osman Gunay, A. Enis &Ccedi...
CVPR
2007
IEEE
16 years 6 months ago
Multi-Object Tracking Using Color, Texture and Motion
In this paper, we introduce a novel real-time tracker based on color, texture and motion information. RGB color histogram and correlogram (autocorrelogram) are exploited as color ...
Matti Pietikäinen, Valtteri Takala