Distinguishing Method of Outside Edge in the Tennis Ball-Mean Shift Algorithm
نویسنده
چکیده
Target tracking is widely applied to monitoring, video coding and military industry. It is a challenge for computer vision that how to conduct effective tracking in video sequences. Of that the main section is to choose proper features and search matching algorithm rapidly. As an effective matching algorithm, due to no exhaustive search required, Mean Shift is successfully applied in target tracking requiring high real-time performance. Motion image detect is applied to industry, military and some important fields such as bank, transportations. This study studies sports target tracking base on Mean Shift. Apply it to outside edge distinguishing in tennis, which has practical significances for high-precision judgment in other sports terms.
منابع مشابه
Natural scene text localization using edge color signature
Localizing text regions in images taken from natural scenes is one of the challenging problems dueto variations in font, size, color and orientation of text. In this paper, we introduce a new concept socalled Edge Color Signature for localizing text regions in an image. This method is able to localizeboth Farsi and English texts. In the proposed method rst a pyramid using diff...
متن کاملTennis Ball Tracking: 3D Trajectory Estimation using Smartphone Videos
1. T. Qazi, P. Mukherjee, S. Srivastava, B. Lall and N. R. Chauhan, "Automated ball tracking in tennis videos," 2015 Third ICIIP, Waknaghat, 2015, pp. 236-240 2. C. Lyu, Y. Liu, B. Li and H. Chen, "Multi-feature based high-speed ball shape target tracking," 2015 IEEE Int. Conference on Information and Automation, Lijiang, 2015, pp. 67-72. 3. Archana, M., Geetha, M.K.: An efficient ball and play...
متن کاملThe Regression Modelling of Kinanthropometric and Kinematic Variables in Relation to Ball Velocity of Nigerian Female Tennis Players
Background. Kinanthropometric and Kinematic variable are important in the understanding of performance in various sports. These variables have not been explored among Tennis players in Nigeria. Objectives. An exploration to establish a regression model for kinanthropometric and kinematic variables in relation to ball velocity of Nigerian Female Tennis Players. Methods. Data were collected thr...
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 کاملاصلاح ردیاب انتقال متوسط برای ردگیری هدف با الگوی تابشی متغیر
The mean shift algorithm is one of the popular methods in visual tracking for non-rigid moving targets. Basically, it is able to locate repeatedly the central mode of a desirable target. Object representation in mean shift algorithm is based on its feature histogram within a non-oriented individual kernel mask. Truly, adjusting of the kernel scale is the most critical challenge in this method. ...
متن کامل