GIST Scholar
College of Artificial Intelligence
Department of Electrical Engineering and Computer Science
2. Conference Papers
FSSSD: Fixed scale SSD for vehicle detection
- Type
- Conference Paper
- Citation
- 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2020, pp.336 - 342
- Issued Date
- 2020-02-27
- Abstract
- Since surveillance cameras are commonly installed in high places, the objects in the taken images are relatively small. Detecting small objects is a hard issue for the one-stage detector, and its performance in the surveillance system is not good. Two-stage detectors work better, but their speed is too slow to use in the real-time system. To remedy the drawbacks, we propose an efficient method, named as Fixed Scale SSD(FSSSD), which is an extension of SSD. The proposed method has three key points: high-resolution inputs to detect small objects, a lightweight Backbone to speed up, and prediction blocks to enrich features. FSSSD achieve 63.7% AP at 16.7 FPS in the UA-DETRAC test dataset. The performance is similar to two-stage detectors and faster than any other one-stage method. Copyright © 2020 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved
- Publisher
- SciTePress
- Conference Place
- EI
- Appears in Collections:
- Department of Electrical Engineering and Computer Science > 2. Conference Papers
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