Nighttime Pedestrian and Vehicle Detection Based on a Fast Saliency and Multifeature Fusion Algorithm for Infrared Images

• Published in: IEEE transactions on intelligent transportation systems Vol. 23; no. 9; pp. 16741 - 16751
• Main Authors: Xue, Tao, Zhang, Zunqian, Ma, Weining, Li, Yifan, Yang, Aimin, Ji, Tianhao
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.09.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Computer vision; Feature extraction; Image acquisition; Infrared image; Infrared imagery; Metallurgy; Night; pedestrian and vehicle detection; Pedestrians; Radio frequency; real-time detection; Real-time systems; Roads; Salience; Support vector machines; SVM; Vehicle detection; Vehicles

In recent years, pedestrian and vehicle detection at night has become an important subject of computer vision applications. Because the environment light is weak at night, the common traditional camera-input algorithms often performs poorly. Pedestrians and vehicles in infrared images are usually br...