Detection and Extraction of Moving Object in Intelligent Surveillance System

2013 ◽  
Vol 401-403 ◽  
pp. 1027-1030
Author(s):  
Wen Hua Qiu ◽  
Zhen Zhen Qiu ◽  
Liang Wang

To solve the low automatic degree and low accurate alarm rate in the traditional intelligent surveillance system, a motion object segmentation algorithm based on level set method is proposed and implemented. The algorithm gains the primal contour curve by luminance difference between the video frames, and sets the curve as the primal zero level set. Then the narrow band level set algorithm is used to evolve the curve until achieving the segmentation result. Experimental results show that this method can greatly save the level set segmentation time and increase the detecting efficiency.

2013 ◽  
Vol 787 ◽  
pp. 896-901
Author(s):  
Yong Hui Gao ◽  
Sheng Zheng Wang ◽  
Jie Yang

Level set method is convenient in image segmentation for the stabilization and veracity. Gaussian filter is usually taken as a preprocess to reduce the influence of weak edges due to noises, but the disadvantage is obvious: blur fine structures specially the important boundaries and lead to inaccurate segmentation result. This paper introduces a robust method which filters the images with a Nonlinear Coherent Diffusion (NCD) to accelerate the evolution of level set in a spatially varying manner. Experimental results show the performance of the proposed method in improving precision of segmentation.


Measurement ◽  
2021 ◽  
pp. 109232
Author(s):  
Alan M. Braga ◽  
Regis C.P. Marques ◽  
Fátima N.S. Medeiros ◽  
Jeová F.S. Rocha Neto ◽  
Andrea G.C. Bianchi ◽  
...  

2006 ◽  
Vol 53 (11) ◽  
pp. 2257-2264 ◽  
Author(s):  
M. Soleimani ◽  
O. Dorn ◽  
W.R.B. Lionheart

2013 ◽  
Vol 850-851 ◽  
pp. 839-843
Author(s):  
Hong Jiang Wu ◽  
Hai Yan Zhao ◽  
Jin Meng ◽  
Jing Zhao

An improved level set PDE based on the Chan-Vese multiphase level set method is proposed. Because the segmentation results is well influenced by the initial zero level set, we use the method based on Edge-Link to obtain initial zero level set of the proposed multiphase level set segmentation model. Experimental results of ambiguous edges in human motion image suggest the efficiency and accuracy of the algorithm in its segmentation operations.


2015 ◽  
Vol 138 (1) ◽  
Author(s):  
Xiaowei Deng ◽  
Yingjun Wang ◽  
Jinhui Yan ◽  
Tao Liu ◽  
Shuting Wang

Optimization of the femur prosthesis is a key issue in femur replacement surgeries that provide a viable option for limb salvage rather than amputation. To overcome the drawback of the conventional techniques that do not support topology optimization of the prosthesis design, a parameterized level set method (LSM) topology optimization with arbitrary geometric constraints is presented. A predefined narrow band along the complex profile of the original femur is preserved by applying the contour method to construct the level set function, while the topology optimization is carried out inside the cavity. The Boolean R-function is adopted to combine the free boundary and geometric constraint level set functions to describe the composite level set function of the design domain. Based on the minimum compliance goal, three different designs of 2D femur prostheses subject to the target cavity fill ratios 34%, 54%, and 74%, respectively, are illustrated.


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