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This paper discusses how to acquire an estimation of DOA(Direction of Arrival) and polarimetric parameters of arriving sources with high accuracy, for polarimetric array is seldom used till now, and even when it is used, it is still hard to acquire an estimation with high accuracy. We apply CS-based method instead of traditional methods to find solutions for the mathematical model of polarimetric...
We present a detailed study of Naive Bayes Nearest Neighbor (NBNN) proposed by Boiman et al., with application to scene categorization and video event detection. Our study indicates that using Dense-SIFT along with dimensionality reduction using PCA enables NBNN to obtain state-of-the-art results. We demonstrate this on two tasks: (1) scene image categorization on the UIUC 8 Sports Events Image Dataset...
Abnormal crowd behavior detection is an important issue in crowd surveillance. In this paper, a novel local pressure model is proposed to detect the abnormality in large-scale crowd scene based on local crowd characteristics. These characteristics include the local density and velocity which are very significant parameters for measuring the dynamic of crowd. A grid of particles is placed over the...
Lane-changing track is one of the most important topics in traffic engineering domain. In the past decades, continued efforts have been made to the research and development. Although the video traffic detection technology has been widely used in the detection of traffic incident, most of them are suitable for the identification of common parameters, which leads to little further investigation and...
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