Path Estimation and Motion Detection of Moving Object in Videos

This paper discusses an efficient and effective approach for identifying and tracking of moving object from a video. A video is captured by stationary camera. Moving object tracking and detection from video sequences has applications in several areas such as automatic video surveillance, motion-based recognition, video indexing, human-computer interaction, traffic monitoring, and vehicle navigation. In this work, we present a computer vision-based approach for object tracking and detection. A method is proposed to detect and track moving object through video even if background is changed at any instant and capable of plotting a 3D graph mesh based on the moving object in between any number of frames per second. We use consecutive frame analysis technique to detect background changing criteria and use morphological filtering for image enhancement. Finally, we will get the co-ordinates for the moving object and these co-ordinates are imported to any other 3D software’s like MAYA etc to analyze or edit the results calculated by the algorithm. KeywordsObject tracking, Object detection, Motion estimation, Computer vision.