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Detail
Conference Paper
A Study on Location Information Aided Re-identification in CCTV Environment
- Authors
- Sungwon Byon, Eunjung Kwon, Eui-Suk Jung, Yong-Tae Lee
- Issue Date
- 2017-10
- Citation
- International Conference on Information and Communication Technology Convergence (ICTC) 2017, pp.818-820
- Language
- English
- Type
- Conference Paper
- Project Code
- 17HR3300, Platform Development of Multi-log based Multi-Modal Data Convergence Analysis and Situational Response, Lee Yong Tae
- Abstract
- The video data taken by CCTV cameras are becoming abundant as CCTV is widely spreading in surveillance area. As video analytic technologies are developing, object detection and classification of video data can be performed by machines like CCTV cameras and computers. The automatic object detection and classification can be applied to identify same person from multiple video clips taken at different time or by different cameras. The accuracy of video object classification can be enhanced by using other information. In this paper, a method is introduced, which enhances the accuracy of the person re-identification using location information of CCTV and smart phone.
- KSP Keywords
- Classification of video, Location information(GPS), Object classification, Object detection, Person Re-Identification, Smart Phone, Video analytics, Video clips, Video data, Video object, detection and classification