Object Tracking via Pixel-Wise and Block-Wise Sparse Representation
نویسندگان
چکیده
منابع مشابه
A novel kernel-PLS method for object tracking
In this paper, we propose a On-line kernel-PLS approach to improving both the robustness and accuracy of object tracking which is appropriate for real-time video surveillance. Typical tracking with color histogram matching provides robustness but has insufficient accuracy, because it does not involve spatial information. On the other hand, tracking with pixel-wise matching achieves accurate per...
متن کاملUsing a Novel Concept of Potential Pixel Energy for Object Tracking
Abstract In this paper, we propose a new method for kernel based object tracking which tracks the complete non rigid object. Definition the union image blob and mapping it to a new representation which we named as potential pixels matrix are the main part of tracking algorithm. The union image blob is constructed by expanding the previous object region based on the histogram feature. The pote...
متن کاملRobust human face recognition based on locality preserving sparse over complete block approximation
Compressive Sensing (CS) has become one of the standard methods in face recognition due to the success of the family of Sparse Representation based Classification (SRC) algorithms. However it has been shown that in some cases, the locality of the dictionary codewords is more essential than the sparsity. Also sparse coding does not guarantee to be local which could lead to an unstable solution. ...
متن کاملUsing Dominant Sets for Object Tracking with Freely Moving Camera
Object tracking with freely moving cameras is an open issue, since background information cannot be exploited for foreground segmentation, and plain feature tracking is not robust enough for target tracking, due to occlusions, distractors and object deformations. In order to deal with such challenging conditions a traditional approach, based on Camshift-like color-based features, is augmented b...
متن کاملPixel-wise object tracking
In this paper, we propose a novel pixel-wise visual object tracking framework that can track any anonymous object in a noisy background. The framework consists of two submodels, a global attention model and a local segmentation model. The global model generates a region of interests (ROI) that the object may lie in the new frame based on the past object segmentation maps; while the local model ...
متن کامل