Highway vehicle counting in compressed domain
WebThe video analysis methods in compressed domain mainly rely on the encoding metadata, which can be easi-ly extracted from video bitstreams, e.g. the motion vector (MV), DCT … WebThe module tracks detected vehicles in each area frame-by-frame and determines whether the detected passing vehicle in an area is a new vehicle to avoid incorrect counting caused by missing detection. The process is as follows: 1) Vehicles are detected in each frame.
Highway vehicle counting in compressed domain
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WebJun 1, 2016 · This paper presents a highway vehicle counting method in compressed domain, aiming at achieving acceptable estimation performance approaching the pixel … WebFeb 23, 2024 · Finally, the traffic flow information is obtained based on counted vehicle categories and their directions. The experiment results clearly indicate that the proposed system achieves the top inference speed at around 26.8 frames per second (FPS) with 92.1% accuracy on the VDD.
WebCompressed-Domain Highway Vehicle Counting by Spatial and Temporal Regression; Traffic Congestion Estimation Using HMM Models Without Vehicle Tracking; An algorithm to … WebNov 17, 2024 · In compliance with standards outlined in the Federal Highway Administration Traffic Monitoring Guide, annual average daily traffic volume maps and reports are …
WebFor saliency detection, we argue in this paper that the state-of-the-art high efficiency video coding (HEVC) standard can be used to generate the useful features in compressed domain. Therefore, this paper proposes to learn the video saliency model, … WebMay 30, 2024 · Vehicle detection and counting are extremely important for intelligent transportation. Vehicle detection mainly uses target detection methods to distinguish vehicle positions and identify vehicle types from traffic monitoring videos; moreover, based on the vehicle detection results, the counting process is completed by performing vehicle …
WebJun 4, 2024 · Five troopers in unmarked cars covered all 67 miles of Interstate 485, randomly choosing a different stretch of the highway each day. Increase in road rage
WebOct 11, 2024 · Counting on-road vehicles in the highway is fundamental for intelligent transportation management. This paper presents the first highway vehicle counting … trw theaterWebA framework is proposed to count vehicles and estimate traffic flow parameters in dense traffic scenes. First, a pyramid-YOLO network is proposed for detecting vehicles in dense scenes, which can effectively detect small-size and occluded vehicles. trw tech supporttrw the gameWebIn order to reduce vehicle distortion caused by the foreshortening effect, a nonuniform mesh grid and a projective transformation are estimated and applied during the warping process. Second, we extract a set of low-level features for each foreground segment and develop a cascaded regression approach to count and classify vehicles directly ... trw thompson power steering pulleyWebTitle: Compressed-Domain Highway Vehicle Counting by Spatial and Temporal Regression Authors: Zilei Wang, Xu Liu, Jiashi Feng, Jian Yang, Hongsheng Xi Link: article Date of first … philips respironics simplygo mini accessoriesWebHighway Vehicle Counting in Compressed Domain CVPR 2016 · Xu Liu , Zilei Wang , Jiashi Feng , Hongsheng Xi · Edit social preview This paper presents a highway vehicle counting … philips respironics simplygo mini dc adapterWebTABLE I COMPARISON OF COUNTING PERFORMANCE FOR DIFFERENT METHODS AND FEATURE SETS ON THE UCSD DATASET, WHERE THE Red AND Blue DENOTE THE FIRST AND SECOND BEST PERFORMANCE - "Compressed-Domain Highway Vehicle Counting by Spatial and Temporal Regression" trw the real world