A New Method for Trip-line Detection in Surveillance Video

Trip-line detection is one of the very important research topics of intelligent monitoring category. This paper will present a trip-line detection system. In our trip line detection algorithm, Gauss model is used to model background, background differencing is used to detect object. Scanning the set of points on the line, if object is cross the line, for doubledirection trip-line detection system directly alerts, but for single-direction trip-line detection, the moving direction of the object must be analyzed first. If the moving direction of the object violate passing rule, system directly alerts.

[1]  Osama Masoud,et al.  Real time, online detection of abandoned objects in public areas , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

[2]  Benyong Liu,et al.  Fast Image Dilation/Erosion with Cooperation of Multiple Neighbors , 2010, 2010 Chinese Conference on Pattern Recognition (CCPR).

[3]  Xiangyang Wang,et al.  Image denoising using bilateral filter and Gaussian scale mixtures in shiftable complex directional pyramid domain , 2011, Comput. Electr. Eng..

[4]  W. Eric L. Grimson,et al.  Adaptive background mixture models for real-time tracking , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

[5]  Zhao Dong-sheng Color Histogram Matching Algorithm in Video Detection , 2008, CIT 2008.

[6]  Laurent D. Cohen Multiple Contour Finding and Perceptual Grouping using Minimal Paths , 2004, Journal of Mathematical Imaging and Vision.

[7]  T. Shimamura,et al.  Noise Estimation by Utilizing Mean Deviation of Smooth Region in Noisy Image , 2012, 2012 Fourth International Conference on Computational Intelligence, Modelling and Simulation.

[8]  Zhou He-qin A Motion Detection Algorithm Based on Background Subtraction and Symmetrical Differencing , 2005 .