Crowd Event Detection in Computer Vision
One of video surveillance applications is crowd analysis Video surveillance application uses crowd analysis for automatic detection of anomalies and alarms. Behavior of the crowd attracts many researchers interest because of its complexity and abstract. Several obstacles, such as, occlusion, illumination changes, and any other obstacles that could influence detecting process, also there are some difficulties in analyzing crowd event. This paper is intended to analyze crowd behavior through video surveillance for detecting normal and abnormal pattern. In addition, two basic methods in segmentation from sequence images are compared
computer vision crowd analysis event detection abnormality detection background subtraction.
Muhammad Husni Nanna Suryana
Faculty of Information and Communication Universiti Teknikal Malaysia Melaka (UTeM) Melaka, Malaysia
国际会议
2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)
大连
英文
444-447
2010-07-05（万方平台首次上网日期，不代表论文的发表时间）