Vehicle detection system using soft channel cascade for resource-limited platforms

Yuzhong Zhong; Maoning Wang; Jianwei Zhang; Yingjiang Li; Tianyu Geng

doi:10.1117/1.JEI.28.2.021005

22 January 2019 Vehicle detection system using soft channel cascade for resource-limited platforms

Yuzhong Zhong, Maoning Wang, Jianwei Zhang, Yingjiang Li, Tianyu Geng

Author Affiliations +

Journal of Electronic Imaging, Vol. 28, Issue 2, 021005 (January 2019). https://doi.org/10.1117/1.JEI.28.2.021005

Abstract

The trade-off between accuracy and computational cost is a central aspect of the problem of real-time vehicle detection, especially for resource-limited platforms. We propose a vehicle-detection method based on template aggregate channel features (TACFs) and soft channel cascade to address the computational requirements of a monocular rearview vehicle detection system. The TACFs is a system of template features designed based on the original aggregate channel features, which is aimed at fully describing the characteristics of the vehicle’s appearance. The proposed soft channel cascade is a pipeline of multiple single-channel classifiers and a full-channel classifier, in which the single-channel classifiers are used to quickly filter the background window and reduce the area of the region of interest, and the full-channel classifier is used to verify the candidate window to improve the detection precision. The proposed method is evaluated on three different datasets with a variety of scenarios involving dense traffic, poor lighting, bad weather conditions, and partial occlusion. Detailed evaluations show that the proposed method enables high-precision detection and high recall rate, and performs better than the existing state-of-the-art vehicle detection methods. In addition, the soft channel cascade can rapidly reject most windows that do not contain any vehicles and enables real-time detection.

Citation Download Citation

Yuzhong Zhong, Maoning Wang, Jianwei Zhang, Yingjiang Li, and Tianyu Geng "Vehicle detection system using soft channel cascade for resource-limited platforms," Journal of Electronic Imaging 28(2), 021005 (22 January 2019). https://doi.org/10.1117/1.JEI.28.2.021005

Received: 1 August 2018; Accepted: 28 December 2018; Published: 22 January 2019

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KEYWORDS

Calibration

Sensors

Target detection

Detection and tracking algorithms

Light sources and illumination

Cameras

Feature extraction

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