Multifeature fusion for robust human detection in thermal infrared imagery
Author:
Affiliation:
1. University of Dayton Vision Lab, Electrical and Computer Engineering, Dayton, Ohio
Publisher
SPIE-Intl Soc Optical Eng
Subject
General Engineering,Atomic and Molecular Physics, and Optics
Reference41 articles.
1. Far-Infrared Based Pedestrian Detection for Driver-Assistance Systems Based on Candidate Filters, Gradient-Based Feature and Multi-Frame Approval Matching
2. Human Detection Based on the Generation of a Background Image by Using a Far-Infrared Light Camera
3. Pyramid binary pattern features for real-time pedestrian detection from infrared videos
4. Robust and fast pedestrian detection method for far-infrared automotive driving assistance systems
5. Pedestrian detection in far infrared images
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