Development of a Novel Algorithm for Moving Object Tracking in Video Surveillance
Shridevi S. Vasekar1, Sanjivani K. Shah2

1Shridevi S. Vasekar1, Sinhgad College of Engineering, Pune, India. (Savitribai Phule Pune University), Pune.
2Sanjivani K.Shah, Smt. Kashibai Navale College of Engineering, Pune, India. (Savitribai Phule Pune University), Pune.

Manuscript received on September 14, 2019. | Revised Manuscript received on 22 September, 2019. | Manuscript published on October 10, 2019. | PP: 3394-3401 | Volume-8 Issue-12, October 2019. | Retrieval Number: L25781081219/2019©BEIESP | DOI: 10.35940/ijitee.L2578.1081219
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Abstract: Video surveillance is a process of analyzing video sequences. It involves analysis, interpretation of object behaviors, as well as object detection and tracking. Video processing plays an important role in the industry and computer vision such as online monitoring of assembly processes, video surveillance security system, medical treatment, robot navigation and military, etc. Detection and tracking of human objects is one of the important studies in improving the ability of the surveillance system. The aim of this research work is to measure and analyze the application of background subtraction method and block matching algorithm to trace object movements through video-based. This research applies background subtraction method to detect moving object, assisted with block matching algorithm which aims to get good results on objects that have been detected. Performance evaluation is carried out to determine the various parameters. In this paper author design and develop a novel algorithm for moving object tracking in video surveillance also compares and analyse existing algorithms for moving object tracking. Author main aim to design and develop an algorithm for moving object tracking to handle occlusion and complex object shapes.
Keywords: Moving Object Detection, Background Subtraction, Kalman Filter, Video Surveillance.
Scope of the Article: Algorithm Engineering