Real-time object entity detection system for smart surveillance application
- Authors
- Ko, K. E.; Sim, K. B.
- Issue Date
- Sep-2017
- Publisher
- INST ENGINEERING TECHNOLOGY-IET
- Keywords
- object detection; surveillance; real-time object entity detection system; smart surveillance application; unified framework; additional training process; benchmark dataset; precision performance; state-of-the-art object detection speed
- Citation
- ELECTRONICS LETTERS, v.53, no.19, pp 1304 - 1306
- Pages
- 3
- Journal Title
- ELECTRONICS LETTERS
- Volume
- 53
- Number
- 19
- Start Page
- 1304
- End Page
- 1306
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/3941
- DOI
- 10.1049/el.2017.1532
- ISSN
- 0013-5194
1350-911X
- Abstract
- A real-time scheme for detecting object entities in real-time among a set of objects contained in the same class category is proposed. Building a unified framework for real-time object entity detection system without an additional training process to distinguish the object entities while minimising the loss of accuracy is focused. The experimental results on a benchmark dataset demonstrate that the method shows outstanding precision performance while achieving state-of-the-art object detection speed.
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Collections - College of ICT Engineering > School of Electrical and Electronics Engineering > 1. Journal Articles
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