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We present an effective real-time approach for automatically reconstructing 3D human body poses from monocular video sequences. In this approach, human body is automatically detected from video sequence, then image features such as silhouette, edge and color are extracted and integrated to infer 3D human poses in an iterative way by minimizing the cost function defined between 2D features from the...
In this paper, we propose a fully automated approach for tracking of multiple objects across multiple cameras with overlapping and non-overlapping views in a unified framework without initial training. For single camera cases, Kalman filter and adaptive particle sampling are integrated for multiple objects tracking. When extended to multiple cameras cases, the relations between adjacent cameras are...
In this paper, we aim at improving the video quality degradation due to high motions or scene changes. An improved frame-layer bit allocation scheme for H.264/AVC rate control is proposed. First, current frame is pre-encoded in 16×16 modes with a fixed quantization parameter (QP). The frame coding complexity is then measured based on the resulting bits and peak signal-to-ratio (PSNR) in the pre-coding...
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