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Kernel based trackers have been proven to be a promising approach for video object tracking. The use of a single kernel often suffers from occlusion since the available visual information is not sufficient for kernel usage. In order to provide more robust tracking performance, multiple inter-related kernels have thus been utilized for tracking in complicated scenarios. This paper presents an innovative...
In this paper, a joint uplink (UL) and downlink (DL) framework for wireless mobile camera networks over an OFDMA-based infrastructure is proposed. On the UL, this system collects unicast real-time video streams from mobile wireless camera stations (CSs) and forwards them to a control center. On the DL, the aggregated video streams are multicast to multiple mobile stations (MSs) to facilitate monitoring...
The purpose of ground truth data is to provide an absolute reference to be compared with algorithms' results. However, collecting ground truth data for real-life applications is an important but very disturbing task. This is particularly true for license plate recognition applications because of time-consuming manual. In this paper, we present a method of two-stage vehicle leaving and entering detection...
The appearance of one object may be seen differently from distinct cameras with overlapping views due to the color deviation and perspective difference. In this paper, we study these problems and propose an appearance modeling technique in order to perform the tracking across the multiple cameras. For single camera tracking, an effective integrated Kalman filter and multiple kernels tracking scheme...
This paper proposes a 3D human body pose reconstruction system based on videos captured from any perspective view of a monocular camera. The appearance, color and temporal information extracted from the video frames are effectively combined to accurately track 2D body features. This view invariant system overcomes the challenges of requiring the modeled human to be viewed from a pre-specified angular...
In kernel-based video object tracking, the use of single kernel often suffers from the occlusion. In order to provide more robust tracking performance, multiple inter-related kernels have thus been utilized for tracking in complicated scenarios. This paper presents an innovative method that uses projected gradient to facilitate multiple kernels in finding the best match during tracking under predefined...
We present an effective real-time approach for automatically estimating 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 by iteratively minimizing the cost function defined between 2D features derived from the projected...
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