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Fast object detection is the most important part of the unmanned surface vehicles (USV) which make it possible for the USV to avoid the obstacle automatically and navigate autonomously. So, it is necessary to find a fast and accurate object detection method. In practice, the significant difficulty is that the environment is quite complicated which make the object uncertain. The obstacle may be a person,...
In multiple moving object detection, the connection between objects and shadow always leads to the failure of object detection. To solve this problem, a new object extraction algorithm using level set is proposed and applied to detect moving vehicle in intelligent monitoring of motorway. Moving information is extracted via symmetrical difference and used in the velocity function of level set. After...
Detection and classification of vehicles are the most challenging tasks of a video-based intelligent transportation system. Traditional detection and classification methods are based on subtraction of estimated still backgrounds from a video to find out the moving objects. In general, these methods are computationally highly expensive, and in many cases show poor detection and classification performance,...
It is dangerous that changing lane without knowing the information of the other lane in the blind-spot area. We propose a vision based lane changing assistance system to monitor the vehicle in the blind-spot area. So far in the literature, only few results are found using the features of the vehicle to detect the vehicle. Without using features from vehicle, to conclude that vehicles do appear in...
Traffic Flow Analysis System is an important part of Intelligent Transportation Systems. It mainly contains two parts: vehicle detection part and vehicle tracking part. The efficient video object segmentation algorithm is the basis of vehicle detection part that aims to segment each vehicle correctly. In this paper, according to the street traffic environment, we adopt a multiple video object segmentation...
An image detection system based on DSP is designed for the length of vehicle queue at crossroad. The whole hardware structure of the system is described firstly, and the circuitry to process image by DSP is detailed. Also, the main program of the image detection system and the multi-threshold extraction method for the vehicle queue length are presented in the paper. By applying the system to the urban...
A new method for real-time detection and tracking of multiple moving vehicles from traffic video is proposed. This method first uses MoG and texture based model to extract foreground from the scene, then detect moving targets using a modified version of timed motion history image (tMHI), and finally uses Kalman prediction filter to track these targets, which the full moving trajectories of the targets...
A vision based method of vehicle detection was proposed. Firstly, a improved common region algorithm to realize the background subtraction which having a better robustness and easy to determine the background image real timely. Then a threshold segmentation method is used in object extraction stage. Compared with the existing algorithm, such an iterative algorithm based on weighted average of thresholds...
Road detection is a vital task for the development of autonomous vehicles. The knowledge of the free road surface ahead of the target vehicle can be used for autonomous driving, road departure warning, as well as to support advanced driver assistance systems like vehicle or pedestrian detection. Using vision to detect the road has several advantages in front of other sensors: richness of features,...
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...
The need for a generic and adaptable object detection and recognition method in images, is becoming a necessity today, given the rapid development of the internet and multimedia databases in general. This paper compares the state-of-the-art in object recognition and proposes a method based on adaptable models for detecting thematic categories of objects. Furthermore, automatically constructed semantics...
This paper proposes a motion-focusing method to extract key frames and generate summarization synchronously for surveillance videos. Within each pre-segmented video shot, the proposed method focuses on one constant-speed motion and aligns the video frames by fixing this focused motion into a static situation. According to the relative motion theory, the other objects in the video are moving relatively...
This study presents an effective system for detecting and tracking moving vehicles in nighttime traffic scene for traffic surveillance. The proposed method identifies vehicles based on detecting and locating vehicle headlights and taillights by using the techniques of image segmentation and pattern analysis. First, to effectively extract bright objects of interest, a fast bright-object segmentation...
For a typical urban intersection, moving vehicle shadow and vehicle-pedestrian mixed conditions exist in traffic scene commonly. These interfering factors lead to a very low correct rate of the traffic parameters extraction. This paper presents robust traffic parameters extraction (RTPE) approach for traffic surveillance system at an urban intersection, which contains three key algorithms. First,...
This paper is about image processing systems and its ability to use in traffic surveillance and analysis. Growing car number is cause of bigger traffic jams and city pollution. With intelligent vision systems we can control traffic and reduce this problem. These systems have tremendous perspective. This paper presents the fundamental principles of traffic image processing system in moving object detection...
This paper presents a robust traffic parameters extraction (RTPE) method for intelligent traffic system. Firstly a texture-based algorithm is introduced to solve the moving shadow problem, which occurs in traffic lane commonly. Secondly, we propose a robust exponential entropy-based and data-dependent threshold vehicle detection algorithm, named RVD-EXEN algorithm to extract vehicle's feature from...
Road detection is one of the key issues for the implementation of intelligent vehicles. In this paper, we present a drivable road region detection method using homography estimation and efficient belief propagation. In the method, each pixel in stereo images is assigned a label by minimizing an energy function that accounts for the planar road region, which is defined by utilizing the 2D projective...
An object-oriented image analysis method has been developed to detect, classify and count road vehicles from airborne color digital orthoimagery. The basic difference, especially when compared with previously developed pixel-based vehicle detection procedures, is that we don't process and analyze image pixels, but rather image objects that are extracted from image segmentation. We aim to characterize...
Video-based surveillance and measuring have been employed more and more widely in traffic monitoring system because of the rich information content contained in video. The vehicles need to be segmented from the video images, the result of vehicles segmentation using background subtraction is not only vehicles but also shadows of vehicles, a method of shadow removing based on texture analysis is presented...
In this paper a vehicle detection algorithm is presented based on the combination of edge feature and random walk techniques. We used background subtraction and edge detection to obtain the moving area, then used morphological operations for vehicle skeleton extraction and get the seed for random walk. Our algorithm has three phases, detection of areas on moving objects, extraction of skeleton points...
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