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Target detecting and tracking based on video is one of the significant research field of computer vision, in this paper some research has been done on the small moving target under the background of sea level. In the process of target detecting, the moving targets detecting algorithm combining the method of background subtraction with the method of symmetrical difference is proposed in this paper...
This paper presents a novel circular augmented rotational trajectory (CART) algorithm to compute an R-space based shape descriptors which allow efficient shape matching, generalization and classification. The rotation invariant R-space representation can be used to detect invariant geometric features despite the presence of considerable noise and quantization errors. Moreover, the CART method is corner...
A new algorithm based on facet model and Particle filter is presented to detect infrared small moving target in image sequence. Firstly, it utilizes a Bayesian based particle filter method to track the target in image sequence and get the target search window. Then the detection is performed on the image intensity surface of search window fitted by cubic facet model. The new partial derivative operators...
To enable a user to perform virtual reality tasks as efficiently as possible, reducing tracking inaccuracies from noise and latency is crucial. Much work has been done to improve tracking performance by using predictive filtering methods. However, it is unclear what the benefits of each of these methods are in practice, which parameters influence their performance, and what the extent of this influence...
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