Optical Flow Based Moving Object Detection and Tracking for Traffic Surveillance
محل انتشار: پنجمین کنفرانس ملی مهندسی برق و الکترونیک ایران
سال انتشار: 1392
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 1,723
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شناسه ملی سند علمی:
ICEEE05_405
تاریخ نمایه سازی: 3 آذر 1392
چکیده مقاله:
automated motion detection and tracking is a challenging task in traffic surveillance. In this paper, a system is developed to gather useful information from stationary cameras for detecting moving objects in digital videos. The moving detection and tracking system is developed based on optical flow estimation together with application and combination of various relevant computer vision and image processing techniques to enhance the process. To remove noises, median filter is used and the unwanted objects are removed by applying thresholding algorithms in morphological operations. Also the object type restrictions are set using blob analysis. The results show that the proposed system successfully detects and tracks moving objects in urban videos.
کلیدواژه ها:
نویسندگان
Sepehr Aslani
Najafabad Branch, Islamic Azad University
Homayoun Mahdavi-Nasab
Najafabad Branch, Islamic Azad University