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Tracking-by-detection has become a popular tracking paradigm in recent years. Due to the fact that detections within this framework are regarded as points in the tracking process, it brings data association ambiguities, especially in crowded scenarios. To cope with this issue, we extended the multiple hypothesis tracking approach by incorporating a novel enhancing detection model that included detection-scene...
This work proposes a robust model to analyse the structure of horse races based on 2D velocity vector information. This model is capable of detecting scene breaks, classifying the view of the contenders and extracting the trajectory of the contenders throughout the race. The performance of the system is tested over six video clips from two different broadcast sources. The performance analysis shows...
We propose a novel approach for the crowd anomaly detection in multiple cameras with non-overlapping view. In this paper, we refer to the activities of crowd in far-field scenes. Firstly, we present a model for learning all of the motion patterns under single camera view, which are regarded as the normal situation. In the surveillance region, we mark the entrances and exits under the single camera...
We analyze the observability of 3-D pose from the fusion of visual and inertial sensors. Because the model contains unknown parameters, such as sensor biases, the problem is usually cast as a mixed filtering/identification, with the resulting observability analysis providing necessary conditions for convergence to a unique point estimate. Most models treat sensor bias rates as “noise,” independent...
Same-frame analysis of optical equipment is the key target of the measure & control scheme's validating rationality in the shooting test of antiaircraft gun system, in order to solve the problem of the larger error of the present same-frame analysis method, a method of same-frame analysis based on simulation deduction is put forward in this paper. Optical equipment imaging system model is...
High-Resolution has become the vital trend of remote sensing imaging, but there are few researches on high temporal resolution at present. We illustrate the importance of high temporal resolution and propose a new method to improve it. Combining with different scene, we analyze the track of moving object and solve motion parameters of target, then construct high temporal resolution series images....
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