Vehicle spotting in nighttime using gamma correction.

Shaheed, Shaik Hafeez; Sudheer, Rajanala; Rohit, Kavuri; Tinnavalli, Deepika; Bano, Shahana

Abstract

Vehicle detection has become an important and challenging aspect of a safe transportation system in the nighttime as most accidents occur at night due to the absence of night lighting conditions. Many algorithms detect the vehicles at nighttime based on the headlights of the vehicles, but it does not apply in the daytime or when the headlights were off. These algorithms also find difficulty when vehicles are in no motion or when it is in parking in the night. In this paper, two approaches, image transformation (IMT) approach and the vehicle detection (VD) approach, are used to detect the vehicles in the nighttime. IMT approach is built based on OpenCV and Gamma correction. This approach is used to change the illumination of the images which are not clearly visible or very dark images. Gamma correction increases brightness of an image. Second, the OD module uses the Haar cascade classifier. The patterns in this classifier can identify the vehicle/object based on those patterns. In this paper, our approach will identify the vehicles in night which are parked or headlights were off, based on patterns like in the daytime by increasing the brightness of the images, to avoid the confusion of headlights.

Citation

SHAHEED, S.H., SUDHEER, R., ROHIT, K., TINNAVALLI, D. and BANO, S. 2022. Vehicle spotting in nighttime using gamma correction. In Suma, V., Baig, Z., Shanmugam, S.K. and Lorenz, P. (eds.) Proceedings of the 6th International conference on inventive systems and control (ICISC 2022), 6-7 January 2022, Coimbatore, India. Lecture notes in networks and systems, 436. Singapore: Springer [online], 405-413. Available from: https://doi.org/10.1007/978-981-19-1012-8_27

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 6th International conference on inventive systems and control (ICISC 2022)
• Start Date: Jan 6, 2022
• End Date: Jan 7, 2022
• Acceptance Date: Dec 8, 2021
• Online Publication Date: Aug 2, 2022
• Publication Date: Dec 31, 2022
• Deposit Date: Nov 12, 2024
• Publicly Available Date: Nov 12, 2024
• Publisher: Springer
• Peer Reviewed: Peer Reviewed
• Pages: 405-413
• Series Title: Lecture notes in networks and systems
• Series Number: 436
• Series ISSN: 2367-3370; 2367-3389
• ISBN: 9789811910111
• DOI: https://doi.org/10.1007/978-981-19-1012-8_27
• Keywords: Vehicle detection; Nighttime sensing; Gamma correction; Image processing
• Public URL: https://rgu-repository.worktribe.com/output/2063925