Titlebook: Computer Vision -- ACCV 2009; 9th Asian Conference Hongbin Zha,Rin-ichiro Taniguchi,Stephen Maybank Conference proceedings 2010 Springer-Ve

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Similarity Scores Based on Background Samplesaradigm. In this paper we show how “background samples”, that is, examples which do not belong to any of the classes being learned, may provide a significant performance boost to such face recognition systems. In particular, we make the following contributions. First, we define and evaluate the “Two

Allure

Human Action Recognition Using Spatio-temporal Classificationis that we would like to add the temporal information into the action recognition process. Base on this purpose, there are three kinds of temporal information, LTM, DTM, and TTM, being proposed. With the three kinds of proposed temporal information, the k-NN classifier based on the Mahanalobis dista

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Tracking Eye Gaze under Coordinated Head Rotations with an Ordinary Camera. In this paper, we show that it is possible to track eye gaze under naturally head rotations(Yaw and Pitch) with only an ordinary webcam. We first carry out a study to examine the occurrence of eye-head coordination, and then show how to track such coordinated gaze by deriving a linear coordination

terazosin

Orientation and Scale Invariant Kernel-Based Object Tracking with Probabilistic Emphasizinglts in such situations. To solve this problem, we propose a new mean-shift based tracking algorithm. Our method is consisted of three parts. First, a new objective function for mean-shift is proposed to handle background clutter problems. Second, orientation estimation method is proposed to extend t

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