We propose a novel successive convex matching method for human action detection in cluttered video. Human actions are represented as sequences of poses, and specific actions are de...
The paper proposes a method to keep the tracker robust to background clutters by online selecting discriminative features from a large feature space. Furthermore, the feature sele...
We propose a region-based method to extract semantic foreground regions from color video sequences with static backgrounds. First, we introduce a new distance measure for backgrou...
This paper presents a semi-fragile object-based authentication solution for MPEG4 video. To protect the integrity of the video objects / sequences, a content-based watermark is em...
We propose a fast approach to 3?D object detection and pose estimation that owes its robustness to a training phase during which the target object slowly moves with respect to the ...