Title :
An HMM segmentation method based statistical layered model for an image of vehicle
Author :
Bo-Ping, Zhang ; Rong, Wang
Author_Institution :
Coll. of Comput. & Technol., Xuchang Univ., Xuchang, China
Abstract :
An HMM segmentation method based statistical layered model for an image including interest vehicle is brought forward. In statistical layered model, the interest vehicle is called foreground layer and other moving object is called background layer and shadow of moving objects is called shadow layer and is expressed by the statistical model respectively. The model parameters are estimated by the HMM-based method of video sequences. HMM- based method makes use of the spatial relativity and time relativity of video sequences to accomplish recognition of model. The experimental results show that this method can succeed segmenting the moving vehicle.
Keywords :
hidden Markov models; image recognition; image segmentation; road vehicles; video signal processing; HMM segmentation method; background layer; foreground layer; interest vehicle; model recognition; moving object shadow; moving vehicle image segmentation; shadow layer; spatial relativity; statistical layered model; time relativity; video sequences; Automotive engineering; Computer networks; Educational institutions; Hidden Markov models; Image analysis; Image segmentation; Parameter estimation; Pixel; Vehicles; Video sequences; HMM; moving vehicle segmentation; statistical layered model;
Conference_Titel :
Networking and Digital Society (ICNDS), 2010 2nd International Conference on
Conference_Location :
Wenzhou
Print_ISBN :
978-1-4244-5162-3
DOI :
10.1109/ICNDS.2010.5479213