JOURNAL ARTICLE

Smart video surveillance system

Abstract

A new approach is proposed for a smart video surveillance system in this paper. The proposed surveillance system uses cononical stereo configuration to set up a pair of statical cameras to support a salient map to control a Pan-Tilt-Zoom(PTZ) camera/cameras, which captures high definition image /video of the interesting moving object in the surveillance area for further forensic investigations. The other contribution of the proposed approach is that, 3D information generated by the set of static cameras is used to support reliable spatial-temporal based image segmentation and object detection. For object tracking, velocity field computation from two consecutive images is based on correspondence salient feature (points). Due to its low computational cost, it is potential to support a real time system to make a loop control for further using the information from the PTZ camera to support the object tracking in video captured by the static cameras.

Keywords:
Computer vision Artificial intelligence Computer science Video tracking Zoom Object detection Feature (linguistics) Object (grammar) Feature extraction Image segmentation Set (abstract data type) Segmentation Engineering

Metrics

18
Cited By
0.64
FWCI (Field Weighted Citation Impact)
27
Refs
0.68
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Video Surveillance and Tracking Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image and Video Retrieval Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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