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Part-based trackers are effective in exploiting local details of the target object for robust tracking. In contrast to most existing part-based methods that divide all kinds of target objects into a number of fixed rectangular patches, in this paper, we propose a novel framework in which a set of deformable patches dynamically collaborate on tracking of non-rigid objects. In particular, we proposed...
Separation of video clips into foreground and background components is a useful and important technique, making recognition, classification, and scene analysis more efficient. In this paper, we propose a motion-assisted matrix restoration (MAMR) model for foreground–background separation in video clips. In the proposed MAMR model, the backgrounds across frames are modeled by a low-rank matrix, while...
A novel approach based on a refined level sets method is presented in this paper for non-rigid object tracking. In contrast with conventional level sets methods, which are blind to target and emphasize the intensity consistency only, the proposed level set method is strengthened by making full use of the tracking context. By associating multiple feature spaces, the most discriminative target information...
Occlusions are challenging issue for robust visual tracking. In this paper, motivated by the fact that a tracked object is usually embedded into context that provides useful information for estimating the target, we propose a novel tracking algorithm named Tracking with Context Prediction (TCP). The context here includes the neighboring objects and specific parts of target. The proposed method simultaneously...
A robust object tracking algorithm is proposed in this paper based on an on-line discriminative appearance modeling mechanism. In contrast with traditional trackers whose computations cover the whole target region and may easily be polluted by the similar background pixels, we divided the target into a number of patches and take the most discriminative one as the tracking basis. With the consideration...
6T-SRAM cell designs for the 22 nm node are compared via full 3-dimensional cell simulation with Sentaurus (v.2008.09), to allow the benefits of advanced MOSFET structures to be accurately assessed. Segmented MOSFET (SegFET) technology provides for enhanced read stability and write-ability, as compared to conventional planar and tri-gate technologies. It also provides for improved SRAM cell yield,...
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