Paper Title:
Abnormal Behavior Recognition Based on Multi-Information Decision in Power Generation
  Abstract

So far most research of human behavior recognition focus on simple individual behavior, such as wave, crouch, jump and bend. This paper will focus on abnormal behavior with objects carrying in power generation. Such as using mobile communication device in main control room, taking helmet off during working and using umbrella in high place. In global environment, there are some almost fixed features for portable objects of workers, such as clothes. So we adopted edge detecting by color tracking to recognize object in worker. The sequence of 3D human behavior data would be expressed by geometric character of skeleton and its angle. Since specific time and space of behavior definition, it is of importance for recognition system using describing information in a comprehensive way. Take account of information complementary perspective, this paper introduced a method of making decision from multi-information by spatial pyramid and fisher score discretion for behavior recognition. And the method was proved to have advantages than some previous algorithms.

  Info
Periodical
Chapter
Chapter 5: Materials in Energy and Environment (1)
Edited by
Dongye Sun, Wen-Pei Sung and Ran Chen
Pages
2482-2486
DOI
10.4028/www.scientific.net/AMM.121-126.2482
Citation
Z. H. Wei, X. S. Li, S. B. Song, L. Zhang, "Abnormal Behavior Recognition Based on Multi-Information Decision in Power Generation", Applied Mechanics and Materials, Vols. 121-126, pp. 2482-2486, 2012
Online since
October 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Jie Cao, Jing Run Zheng
Abstract:In order to solve the problem that human objects in complex environments would be affected by illumination, deformation, moving, etc, a...
452
Authors: Jun Ling Liu, Hong Wei Zhao, Hao Yu Zhao, Chong Xu Chen
Abstract:Study the retrieval algorithm based on shape feature and based on color features of image retrieval, to improve the accuracy of image...
560
Authors: Qi Yang, Jia Fu Jiang
Chapter 16: Modeling, Analysis, and Simulation of Manufacturing Processes II
Abstract:The complexity of the video background of moving target tracking algorithm led to the robustness of the important reasons is not high for the...
3343
Authors: Shi Jie Jia, Jian Ying Zhao, Yan Ping Yang, Nan Xiao
Chapter 17: Metrology and Measurement
Abstract:SVMs with kernel have been established with good generalization capabilities. This paper proposed a supervised product-image classification...
6019
Authors: Jing Ma, Yuan Li, Qing Lin Wang
Chapter 9: Industrial Robotics and Automation
Abstract:This paper presents a target recognition method based on SIFT features matching and image ROI technology for vision system of assembly...
1153