OBJECT EXTRACTION USING EDGE, MOTION AND SALIENCY INFORMATION FROM VIDEOS

Rashmi J, Mangala C N, Sushma J

Abstract: Object detection is a process of finding the instances of object of a certain class which is useful in analysis of video or image. There are number of algorithms have been developed so far for object detection. Object detection has got significant role in variety of areas of computer vision like video surveillance, image retrieval`. In this paper presented an efficient algorithm for moving object extraction using edge, motion and saliency information from videos. Out methodology includes 4 stages: Frame generation, Pre-processing, Foreground generation and integration of cues. Foreground generation includes edge detection using sobel edge detection algorithm, motion detection using pixel-based absolute difference algorithm and motion saliency detection. Conditional Random Field (CRF) is applied for integration of cues and thus we get better spatial information of segmented object.

Keywords: Object detection, Saliency information, Sobel edge detection, CRF.

DOI: https://doi.org/10.15623/ijret.2015.0405011