Mean-Shift based Object Tracking Algorithm using SURF Features
نویسنده
چکیده
Mean-Shift tracking is primarily used for carrying out localized search on an image frame using colour histograms. The application of mean-shift tracking directly to SURF features is limited due to the unavailability of sufficient number of key points for a given object. This paper proposes a method called re-projection to overcome this limitation so that the mean-shift algorithm can be used directly with SURF descriptors for tracking an object in a video recorded from a non-stationary camera. Since the SURF features are computed only for the object being tracked, the computational requirement is small enough to allow real-time tracking of the object. The efficacy of the approach is demonstrated through various simulation results. Key–Words: SURF, Mean-shift, Object Tracking, re-projection
منابع مشابه
Using a Novel Concept of Potential Pixel Energy for Object Tracking
Abstract In this paper, we propose a new method for kernel based object tracking which tracks the complete non rigid object. Definition the union image blob and mapping it to a new representation which we named as potential pixels matrix are the main part of tracking algorithm. The union image blob is constructed by expanding the previous object region based on the histogram feature. The pote...
متن کاملApplying mean shift and motion detection approaches to hand tracking in sign language
Hand gesture recognition is very important to communicate in sign language. In this paper, an effective object tracking and hand gesture recognition method is proposed. This method is combination of two well-known approaches, the mean shift and the motion detection algorithm. The mean shift algorithm can track objects based on the color, then when hand passes the face occlusion happens. Several...
متن کاملFeature Based Image Matching for Airborne Platform
In computer vision, detection and tracking of targets is very complex problem and demands sophisticated solutions. Unmanned Aerial Vehicles (UAVs) are increasingly being used for reconnaissance and Surveillance. This framework mainly consists of image matching for reconnaissance and Surveillance. This framework mainly consists of image matching for Digital Scene Matching Area Correlation (DSMAC...
متن کاملImproved Vision-Based Algorithm for Unmanned Aerial Vehicles Autonomous Landing
In vision-based autonomous landing system of UAV (Unmanned Aerial Vehicle), the efficiency of object detection and tracking will directly affect the control system. An improved algorithm of SURF (Speed Up Robust Features) will resolve the problem which is inefficiency of the SURF algorithm in the autonomous landing system of UAV. The improved algorithm is composed of three steps: first, detect ...
متن کاملA Study on SURF Algorithm and Real-Time Tracking Objects Using Optical Flow
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...
متن کامل