scholarly journals MACD-Based Motion Detection Approach in Heterogeneous Networks

2008 ◽  
Vol 2008 (1) ◽  
Author(s):  
Yung-Mu Chen ◽  
Tein-Yaw Chung ◽  
Ming-Yen Lai ◽  
Chih-Hung Hsu
Keyword(s):  
Heterogeneous Networks ◽  
Motion Detection ◽  
Detection Approach

scholarly journals An Effective Slow-Motion Detection Approach for Compressed Soccer Videos

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Vahid Kiani ◽  
Hamid Reza Pourreza
Keyword(s):  
Efficient Method ◽  
Motion Detection ◽  
High Speed ◽  
Slow Motion ◽  
Compressed Video ◽  
Class A ◽  
Detection Approach

Slow-motion replays are content full segments of broadcast soccer videos. In this paper, we propose an efficient method for detection of slow-motion shots produced by high-speed cameras in soccer broadcasts. A rich set of color, motion, and cinematic features are extracted from compressed video by partial decoding of the MPEG-1 bitstream. Then, slow-motion shots are modeled by SVM classifiers for each shot class. A set of six full-match soccer games is used for training and evaluation of the proposed method. Our algorithm presents satisfactory results along with high speed for slow-motion detection in soccer videos.

scholarly journals Adaptive Momentum-Based Motion Detection Approach and Its Application on Handoff in Wireless Networks

Sensors ◽  
2009 ◽  
Vol 9 (7) ◽  
pp. 5715-5739 ◽  
Author(s):  
Tein-Yaw Chung ◽  
Yung-Mu Chen ◽  
Chih-Hung Hsu
Keyword(s):  
Wireless Networks ◽  
Motion Detection ◽  
Detection Approach ◽  
Adaptive Momentum

scholarly journals Adaptive Momentum-Based Motion Detection Approach and Its Application on Handoff in Wireless Networks

Sensors ◽  
2009 ◽  
Vol 9 (7) ◽  
pp. 5715-5739 ◽  
Author(s):  
Tein-Yaw Chung ◽  
Yung-Mu Chen ◽  
Chih-Hung Hsu
Keyword(s):  
Wireless Networks ◽  
Motion Detection ◽  
Detection Approach ◽  
Adaptive Momentum

Improved Algorithms for Motion Detection of Intelligent Video Surveillance System

2012 ◽  
Vol 505 ◽  
pp. 367-372
Author(s):  
Yan Ling Wang ◽  
Xiao Li Wang ◽  
Guang Lun Li
Keyword(s):  
Change Detection ◽  
Motion Detection ◽  
Background Subtraction ◽  
Moving Objects ◽  
Detection Algorithm ◽  
Reference Image ◽  
Lighting Conditions ◽  
Detection Approach ◽  
Time Segmentation ◽  
Temporal Differencing

Real-time segmentation of moving regions in image sequences is a fundamental step in video monitoring systems. This paper presents an improved motion detection algorithm in a dynamic scene based on change detection. The algorithm integrates the temporal differencing method and background subtraction method to achieve better performance. Background subtraction is a typical change detection approach to segment foreground, but the continuous or abrupt variations of lighting conditions that cause unexpected changes in intensities on the background reference image. So we combine the background subtraction’s result with temporal difference’s result. The foreground mask is segmented by both the methods of background subtraction and temporal differencing. Finally, a post-processing is applied on the obtained object mask to reduce regions and smooth the moving region boundary. Experimental results demonstrate that the proposed method can update the background exactly and quickly along with the variation of illumination, and the moving objects can be extracted effectively.

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