Image segmentation for night-vision surveillance camera based on deep learning

Yuxiang Cao; Junhua Wang; Lizhe Qi; Min Xu

doi:10.1117/12.2654811

15 December 2022 Image segmentation for night-vision surveillance camera based on deep learning

Yuxiang Cao, Junhua Wang, Lizhe Qi, Min Xu

Proceedings Volume 12478, Thirteenth International Conference on Information Optics and Photonics (CIOP 2022); 1247836 (2022) https://doi.org/10.1117/12.2654811
Event: Thirteenth International Conference on Information Optics and Photonics (CIOP 2022), 2022, Xi'an, China

Abstract

Under low illumination environments, the insufficient visible light and the existence of near-infrared light will cause photon noise and color distortion for the imaging of night-vision CMOS sensor. The light source highly affects the imaging of surveillance camera and declines the accuracy of semantic segmentation. In this work, we report a modified convolutional neural network based on DeepLabV3+. We modify the backbone of the network from Xception to MobileNetV2 to deal with the real-time vision task of night-vision surveillance camera. Linear bottleneck and inverted residuals are adopted in MobileNetV2, and they greatly reduce parameters of the network. A real-world low-light dataset with fine annotations for night-vision surveillance camera is proposed to train and evaluated the new framework. Aiming at the problem of insufficient training samples, transfer learning and a new image enhancement strategy are carried out to complete the training. We also change the loss function to a joint loss function to further improve the results of segmentation. Comparing with other existing state-of-the-art algorithms, the modified neural network shows competitive performance on both subjective and objective assessments. The ablation study comparing with the baseline model proves the effectiveness of the modifications.

Citation Download Citation

Yuxiang Cao, Junhua Wang, Lizhe Qi, and Min Xu "Image segmentation for night-vision surveillance camera based on deep learning", Proc. SPIE 12478, Thirteenth International Conference on Information Optics and Photonics (CIOP 2022), 1247836 (15 December 2022); https://doi.org/10.1117/12.2654811

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available