Journal ArticleDOI
Corner based statistical modelling in vehicle detection under various condition for traffic surveillance
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This article is published in Multimedia Tools and Applications.The article was published on 2022-03-31. It has received 2 citations till now. The article focuses on the topics: Computer science & Computer science.read more
Citations
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Journal ArticleDOI
A Comprehensive Review of Vehicle Detection Techniques Under Varying Moving Cast Shadow Conditions Using Computer Vision and Deep Learning
Muhammad Arif,M. U. Farooq,Rana Hammad Raza,Zain ul Aabidin Lodhi,Muhammad Abdur Rehman Hashmi +4 more
TL;DR: This paper proposes a hybrid approach which uses a combination of conventional and state-of-the-art techniques as a pre-processing step for shadow detection and removal before using CNN for vehicles detection, and results indicate a significant improvement in vehicle detection accuracies after using the proposed approach.
Journal ArticleDOI
A Comprehensive Review of Vehicle Detection Techniques Under Varying Moving Cast Shadow Conditions Using Computer Vision and Deep Learning
TL;DR: In this paper , the authors provide an in-depth comparative analysis of different traffic paradigm-focused conventional and state-of-the-art shadow detection and removal algorithms for urban traffic video scenes.
References
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Proceedings ArticleDOI
Are we ready for autonomous driving? The KITTI vision benchmark suite
TL;DR: The autonomous driving platform is used to develop novel challenging benchmarks for the tasks of stereo, optical flow, visual odometry/SLAM and 3D object detection, revealing that methods ranking high on established datasets such as Middlebury perform below average when being moved outside the laboratory to the real world.
Proceedings ArticleDOI
Adaptive background mixture models for real-time tracking
Chris Stauffer,W.E.L. Grimson +1 more
TL;DR: This paper discusses modeling each pixel as a mixture of Gaussians and using an on-line approximation to update the model, resulting in a stable, real-time outdoor tracker which reliably deals with lighting changes, repetitive motions from clutter, and long-term scene changes.
Journal ArticleDOI
Vehicle Detection and Tracking in Car Video Based on Motion Model
TL;DR: The hidden Markov model (HMM) is used to separate target vehicles from the background and track them probabilistically, and the approach is robust and effective in dealing with changes in environment and illumination and that real-time processing becomes possible for vehicle-borne cameras.
Journal ArticleDOI
Vision-based vehicle detection and counting system using deep learning in highway scenes
TL;DR: A new high definition highway vehicle dataset with a total of 57,290 annotated instances in 11,129 images is published in this study, which provides the complete data foundation for vehicle detection based on deep learning.
Journal ArticleDOI
Rear-View Vehicle Detection and Tracking by Combining Multiple Parts for Complex Urban Surveillance
TL;DR: This paper proposes a rear-view vehicle detection and tracking method based on multiple vehicle salient parts using a stationary camera, and shows that spatial modeling of these vehicle parts is crucial for overall performance.