Title :
Moving object detection with moving background using optic flow
Author :
Patel, Milin P. ; Parmar, Shankar K.
Author_Institution :
Electron. & Commun. Dept., G.H. Patel Coll. of Eng. & Technol., Vallabh Vidhyanagar, India
Abstract :
In recent scenario, video surveillance systems are important to monitor security sensitive areas such as banks, crowded public places and borders. Hence, Object detection in such video surveillance is an important task. Research work to detect an object with steady background is carried out and upto some extent it is easy but with moving background it is still challenging. Object detection is complicated as the camera motion and object motion are mixed. Motion vectors, represents flow of a moving object, are obtained using Lucas - kanade optical flow algorithm for moving object detection with complex background. These flow vectors are quantized using a predefined threshold to decide whether a pixel is a part of an object or a background. We have used bilateral filter as a pre-processing step due to which accurate and fast detection of the object is achieved.
Keywords :
cameras; image motion analysis; image sequences; nonlinear filters; object detection; vector quantisation; video surveillance; Lucas-Kanade optical flow algorithm; bilateral filter; camera motion; complex background; flow vector quantization; motion vectors; moving background; moving object detection; object motion; steady background; video surveillance systems; Adaptive optics; Optical imaging; Optical flow; Thresholding; bilateral filtering; motion vector; object detection;
Conference_Titel :
Recent Advances and Innovations in Engineering (ICRAIE), 2014
Conference_Location :
Jaipur
Print_ISBN :
978-1-4799-4041-7
DOI :
10.1109/ICRAIE.2014.6909190