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A shape-perceived object tracking algorithm for intelligent surveillance systems
- Source :
- ICCE-TW
- Publication Year :
- 2015
- Publisher :
- IEEE, 2015.
-
Abstract
- In this paper, we present an effective algorithm design for object tracking in intelligent surveillance applications. The proposed shape-perceived algorithm uses the building-block-based matching method. This method is fast due to its use of one-pass scanning and its low-cost of object classification. Two kinds of cameras are designed for different goals, a wide-angle camera and a PTZ camera, to construct the intelligent surveillance system and to achieve behavior analysis and body recognition. Furthermore, the experimental results show that this low-cost shape-perceived object tracking architecture is feasible for intelligent surveillance systems.
- Subjects :
- Matching (graph theory)
Computer science
business.industry
Feature extraction
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Motion detection
Construct (python library)
Object (computer science)
Statistical classification
Video tracking
Algorithm design
Computer vision
Artificial intelligence
business
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2015 IEEE International Conference on Consumer Electronics - Taiwan
- Accession number :
- edsair.doi...........b46a8a90847c478b854280d14b2e0e3f