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Conference Paper
Fast and energy-efficient object detection and tracking for de-identification in video
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- Authors
- Junhyeok Lee, Seungjae Lee
- Issue Date
- 2022-10
- Citation
- International Conference on Consumer Electronics (ICCE) 2022 : Asia, pp.404-405
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- In modern life, camera modules are available everywhere, including smartphones and home appliances so efficient de-identification methods are continuously required to protect personal information. In this paper, we propose object detection and tracking method that operates within the decoding process in video for fast de-identification. We reduce computational complexity by partially detecting personal information such as faces and vehicle license plates in GoPs and tracking locations using object displacement features. The proposed method confirms the reduction in computation and power consumption through experiments.