ABiFN: Attention‐based bi‐modal fusion network for object detection at night time. Issue 24 (29th October 2020)

• Record Type: Journal Article
• Authors: Sai Charan, A.; Jitesh, M.; Chowdhury, M.; Venkataraman, H.
• Is Part Of: Electronics letters. Volume 56:Issue 24(2020)
• Page Start: 1309
• Page End: 1311
• Publication Date: 2020-10-29
• Subjects: object detection -- cameras -- sensor fusion -- image colour analysis -- image enhancement -- infrared imaging -- video signal processing; channel‐wise attention module -- attention‐based bi‐modal fusion network -- insufficient lighting -- camera‐based object detection -- night time; Electronics -- Periodicals; 621.381
• DOI: 10.1049/el.2020.1952
• Languages: English
• ISSNs: 0013-5194

Abstract

Abstract : Camera‐based object detection in low‐light/night‐time conditions is a fundamental problem because of insufficient lighting. So far, a mid‐level fusion of RGB and thermal images is done to complement each other's features. In this work, an attention‐based bi‐modal fusion network is proposed for a better object detection in the thermal domain by integrating a channel‐wise attention module. The experimental results show that the proposed framework improves the mAP by 4.13 points on the FLIR dataset.