Goal-Directed Evaluation of Binarization Methods
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pitching a baseball: tracking high-speed motion with multi-exposure images
ACM SIGGRAPH 2004 Papers
Evaluation of Background Subtraction Algorithms with Post-Processing
AVSS '08 Proceedings of the 2008 IEEE Fifth International Conference on Advanced Video and Signal Based Surveillance
Fast connected-component labeling
Pattern Recognition
Measurement of initial motion of a flying golf ball with multi-exposure images for screen-golf
IEEE Transactions on Consumer Electronics
A high-speed multi-exposure camera for virtual sports games
SIGGRAPH Asia 2012 Posters
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In this paper, we propose an automatic technique for high-speed flying ball detection from multi-exposure images under varying light conditions. The proposed technique is a two-step process. First, a new automatic image thresholding process is employed to obtain a preliminary ball region from a multi-exposure image, where a background subtraction method based on our spatial background model is combined to eliminate the effect of varying light conditions. Next, a bottom-up image labeling process is applied for obtaining an accurate segmentation of the final ball region. In addition, an efficient multi-grid scheme is introduced to accelerate the processing speed. The effectiveness and efficiency of the proposed technique was tested against previous methods with real experiments under various light conditions. Experimental results show that the proposed technique is capable of automatic and high-speed detection.