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Identification of vehicles for security reasons has lately attracted much scientific and commercial attention. In certain areas, such as government buildings, army camps or country borders, the vehicles are inspected before allowed to enter. As this inspection needs to be thorough, it is a rather time-consuming process. To address this issue, this paper proposes a combination of distinct computer...
Vision based vehicle detection attracts much attention in low-altitude platform for urban traffic surveillance which has great potential practical value. The major difficulties of moving vehicle detection are two-fold: 1) the unconstrained motion of the camera platform; 2) crowded vehicles are connected and hard to be segmented. To address these problems, we proposed an improved registration method...
The application of edge detection to obtain salient lane boundaries on road image is popular in the computer vision area. However, edge detectors may be easily distracted by manifold noises that emerged on the road surface such as shadow cast, vehicles or other obstacles. Additionally, sky region can adversely affect the performance of lane detection method due to the presence of horizontal edges...
In recent years, the development of automatic traffic surveillance system has received great attention in the academic and industrial research. Based on computer vision technology, the purpose of this work is to construct the traffic surveillance system on the highway for estimating traffic parameters, such as vehicle counting and classification. The proposed system mainly consists of three steps...
This study presents an effective method for detecting vehicles in front of the camera-assisted car during nighttime driving and implements it on an embedded system. The proposed method detects vehicles based on detecting and locating vehicle headlights and taillights using techniques of image segmentation and pattern analysis. Firstly, to effectively extract bright objects of interest, a segmentation...
In this paper, we describe a system that is capable of detecting and segmenting objects from video frames which helps in traffic surveillance. Shadow is one of the problems faced by most of the object detection systems. It will affect the result of object detection and segmentation. Hence a shadow removal method is applied in the preprocessing phase of the system to amplify the accuracy of detection...
This paper presents unsupervised vision-based system for parking lot occupancy detection. The proposed method exhibit low computation complexity and use just a few frames per minute. Method is based on three main processing stages. In the first section, raw image acquired by camera system is preprocessed. Shadows in the image are significantly attenuated or completely removed. The image distortion...
In this paper, we present a robust road detection and tracking method based on a condensation particle filter for real-time video-based navigation applications. The image is divided into horizontal strips, and vanishing point (VP) detection is performed on each image strip. We propose a method for estimating the density of road boundary line segments in the image so that VP detection in an image strip...
This article presents the improvement of an Inverse Perspective Mapping (IPM) based obstacle detection algorithm and its utilization in a pedestrian candidate detection module of our vision based pedestrian detection system. A vertical 1D profile of the IPM detection on the region of interest termed Pedestrian Detection Strip (PDS) is created first and the candidates are chosen by applying a threshold...
This paper presents a new robust real-time system for multiple object tracking in traffic scenes. Different from existing object tracking systems this system utilizes an optical matrix range sensor which is mounted onboard on a mobile vehicle. The new generation of matrix range sensor acquires directly dense matrixes of range data from 3D environment at a frame rate up to 50 fps, and brings a new...
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