رئوس مطالب
- چکیده
- کلیدواژه ها
- 1.مقدمه
- 2.کار مرتبط
- 2.1 آشکارسازی اشیا
- 2.2 ردگیری اشیا
- 3. تفاضل پس‌زمینه
- 3.1 الگوریتم تفاضل پس‌زمینه اصلی و ردگیری
- 4. افزودن تفاضل پس‌زمینه به کمک تجزیه و تحلیل فضایی- زمانی
- 4.1 الگوریتم تفاضل پس‌زمینه اصلی به کمک تجزیه و تحلیل فضایی- زمانی
- 5. نتایج و مباحث
- 6. نتیجه‌گیری و حوزه پژوهشی آینده
Abstract
Background Subtraction methods are widely used for detecting and tracking moving objects in videos. It is useful in many applications such as traffic monitoring, video surveillances. The accurate tracking and detection of moving object is the challenging aspect of such approach. This work proposes a general purpose method which combines the advantage of spatio-temporal differencing with the basic background subtraction method. The results are promising on the proposed method as compared with the basic model of background subtraction and mean shift method.
Keywords: Background subtraction - Mean shift - Spatio-temporal differencingConclusions
In this paper we have proposed a new method for detecting and tracking of moving objects in video by combining the basic background subtraction method is with the spatiotemporal analysis and the results are promising. We have evaluated the performance of the algorithm using sample videos. The performance is compared with the well known mean shift method and the basic background subtraction method. As can be seen, the proposed method is faster and efficient. Future scope will be to resolve the problems of locating multiple moving objects separately in the real time scenarios.