Vehicle Detection and Tracking in Night Times Using Vision and Rear Features with an Intelligent Methodology

  • Jieh-Ren ChangEmail author
  • Wai-Leong Loh
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 551)


Human error is still the major cause of traffic incidents. In particular, the accident rate at night was higher than during day. The studies of tracking algorithm for driver assistance systems (DAS) are more important. Most of researches carried out in the daytime with a good lighting condition. In order to solve the traffic accidents at nighttime, a novel adaptive tracking algorithm must to be proposed. In order to ensure correctness of detecting, a new detection model is created to determine the position of target in road region. This study proposes a method that can help to overcome the temporary loss of the target position caused by using traditional detection model. The experiment results show the miss rate of vehicle detection and tracking is low.


Intelligent methodology Dynamic threshold Detection model 


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© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of Electronic EngineeringNational Ilan UniversityYilanTaiwan

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