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ICASSP
2011
IEEE
13 years 9 days ago
Efficient block-division model for robust multiple object tracking
Tracking multiple objects under occlusion is one of the most challenging issues in computer vision. Occlusion results in mistaken match when finding the most similar candidate. A...
Wenhan Luo, Xiaoqin Zhang, Yang Liu, Xi Li, Weimin...
ICASSP
2011
IEEE
13 years 9 days ago
A novel algorithm for occlusions and perspective effects using a 3D object process
In this paper, we introduce a novel probabilistic approach to handle occlusions and perspective effects. The proposed method is an object based method embedded in a marked point p...
Ahmed Gamal-Eldin, Xavier Descombes, Josiane Zerub...
CVPR
2004
IEEE
14 years 10 months ago
Robust Color Object Detection Using Spatial-Color Joint Probability Functions
Object detection in unconstrained images is an important image understanding problem with many potential applications. There has been little success in creating a single algorithm...
David J. Crandall, Jiebo Luo
CVPR
2012
IEEE
11 years 11 months ago
Coupling detection and data association for multiple object tracking
We present a novel framework for multiple object tracking in which the problems of object detection and data association are expressed by a single objective function. The framewor...
Zheng Wu, Ashwin Thangali, Stan Sclaroff, Margrit ...
ECCV
2008
Springer
14 years 10 months ago
Structuring Visual Words in 3D for Arbitrary-View Object Localization
Abstract. We propose a novel and efficient method for generic arbitraryview object class detection and localization. In contrast to existing singleview and multi-view methods using...
Jianxiong Xiao, Jingni Chen, Dit-Yan Yeung, Long Q...