A Study on SURF Algorithm and Real-Time Tracking Objects Using Optical Flow
نویسندگان
چکیده
This paper presents SURF (Speed-Up Robust Features) algorithm and real-time tracking objects using optical flow algorithm. SURF is the fastest algorithm to find features of an object image in real-time and then by using this algorithm we will compare object image features with our real-time object image features. After that match object image features and real-time features. Next, we will apply optical flow algorithm to track the object location. It tracks the object exactly in real-time when object appear in camera’s view. In this paper, we use LK (Lucas-Kanade) optical flow which can operate reduction by choosing an area. We can track object quickly and exactly in real-time.
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