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Synthesis of a stroboscopic image from a hand-held camera sequence for a sports analysis

Synthesis of a stroboscopic image from a hand-held camera sequence for a sports analysis

作     者:Kunihiro Hasegawa Hideo Saito 

作者机构:Keio University 

出 版 物:《Computational Visual Media》 (计算可视媒体(英文版))

年 卷 期:2016年第2卷第3期

页      面:277-289页

核心收录:

学科分类:08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 

基  金:supported in part by JSPS Grant-in-Aid for Scientific Research(S) 24220004 JST CREST "Intelligent Information Processing Systems Creating Co-Experience Knowledge and Wisdom with Human–Machine Harmonious Collaboration" 

主  题:sports vision stroboscopic image stitching mask synthesis 

摘      要:This paper presents a method for synthesizing a stroboscopic image of a moving sports player from a hand-held camera sequence. This method has three steps: synthesis of background image,synthesis of stroboscopic image, and removal of player s shadow. In synthesis of background image step, all input frames masked a bounding box of the player are stitched together to generate a background image. The player is extracted by an HOG-based people *** synthesis of stroboscopic image step, the background image, the input frame, and a mask of the player synthesize a stroboscopic image. In removal of shadow step, we remove the player s shadow which negatively affects an analysis by using mean-shift. In our previous work, synthesis of background image has been timeconsuming. In this paper, by using the bounding box of the player detected by HOG and by subtracting the images for synthesizing a mask, computational speed and accuracy can be improved. These have contributed greatly to the improvement from the previous *** are main improvements and novelty points from our previous method. In experiments, we confirmed the effectiveness of the proposed method, measured the player s speed and stride length, and made a footprint image. The image sequence was captured under a simple condition that no other people were in the background and the person controlling the video camera was standing still, such like a motion parallax was not occurred. In addition, we applied the synthesis method to various scenes to confirm its versatility.

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