Title :
Crowd event detection in computer vision
Author :
Husni, Muhammad ; Suryana, Nanna
Author_Institution :
Fac. of Inf. & Commun., Univ. Teknikal Malaysia Melaka (UTeM), Ayer Keroh, Malaysia
Abstract :
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.
Keywords :
computer vision; image segmentation; image sequences; object detection; video surveillance; computer vision; crowd analysis; event detection; image sequence; images segmentation; obstacles; pattern detection; video surveillance; Feature extraction; Image segmentation; Noise; Pattern recognition; Pixel; Target tracking; abnormality detection; background subtraction; computer vision; crowd analysis; event detection;
Conference_Titel :
Signal Processing Systems (ICSPS), 2010 2nd International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-6892-8
Electronic_ISBN :
978-1-4244-6893-5
DOI :
10.1109/ICSPS.2010.5555536
