Motion-Based Detection and Tracking of Moving Objects in Real Time Scenario
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 4
Abstract
Detecting and tracking moving objects in real time scenario is a vast, active and complex area of computer vision. Detection and tracking is used in many fields like surveillance, intelligent tracking system and many other application. Due to increase in utilization of detection and tracking researchers are continuously making efforts to develop new algorithm to improve the efficiency of available system. Many times combination of multiple algorithms is used to overcome each others inefficiency and results in better algorithm. The main aim of this project is to detect and track moving object using a moving camera mounted on servos which are controlled by the signals of arduino UNO board. The detection will be done using Eigen background subtraction algorithm based on Gaussian mixture models. Morphological operations will be perfomed on the resulting frames in order to eliminate noise. These operations will be followed by blob analysis, which are group of connected pixels and correspond to moving objects. The moving objects are detected and tracks are recorded which are solely based on motion of objects. The motion of each track is estimated by kalman filter which is used to predict the track’s location in each frame. The tracking will be done in two parts, first part will be detecting the moving objects in each frame and second part will be associating the detections corresponding to the same objects overtime.
Authors and Affiliations
Vishalkumar Joshi, Rahulkumar Chaurasia, Anirudh Sonawane, Ajitsingh Rathod
Keywords
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