Surveillance frameworks actualized in true environment are strong in nature. As the
environment is uncertain and dynamic, the surveillance turns out to be increasingly …

Aiming at the high complexity of existing crowd abnormal detection models, the inability of
traditional CNN to extract time-related features, and the lack of training samples, an …

Trajectory data of simultaneously moving objects is being recorded in many different
domains and applications. However, existing techniques that utilise such data often fail to …

As one of the most important tasks in intelligent video analysis, video abnormal event
detection has been extensively studied. Prior arts have made a great process in designing …

The Encyclopedia of Image Processing presents a vast collection of well-written articles
covering image processing fundamentals (eg color theory, fuzzy sets, cryptography) and …

This paper proposes a method to detect abnormal motions in real vehicle situations based
on trajectory data. Our approach uses a Gaussian process (GP) regression that facilitates to …

Our work addresses the problem of analyzing and understanding dynamic video scenes. A
two-level motion pattern mining approach is proposed. At the first level, activities are …

Camera sensor networks have developed as a new technology for the wide-area video
surveillance. In view of the limited power and computational capability of the camera nodes …

基于DBSCAN 聚类算法的异常轨迹检测 Page 1 收稿日期:2016-09-11; 修订日期:2016-10-20
作者简介:周培培(1991-),女,博士生,主要从事图像处理方面的研究. Email:zhoupeipei@sia.cn 导师 …

Pedestrian trajectory outlier detection is of great significance in the field of video surveillance
and public safety. However, due to various behavior patterns of pedestrians and complex …