Implementation of Dynamic Threshold Method for Human Motion Detection in Video surveillance application
Journal Title: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY - Year 2014, Vol 13, Issue 8
Abstract
Detection of moving objects in video streams is the first relevant step of information extraction in many computer vision applications. Aside from the intrinsic usefulness of being able to segment video streams into moving and background components, detecting moving objects provides a focus of attention for recognition, classification, and activity analysis, making these later steps more efficient. This paper implemented a method to detect moving object based on background subtraction. First of all, we establish a reliable background updating model based on statistical and use a dynamic optimization threshold method to obtain a more complete moving object. The moving human bodies are accurately and reliably detected. The experiment results show that the proposed method runs quickly, accurately and fits for the real-time detection.
Authors and Affiliations
Ms. Pritee Gupta, Dr. Yashpal Singh
Keywords
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- EP ID EP650599
- DOI 10.24297/ijct.v13i8.7077
- Views 69
- Downloads 0
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