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Fast detection of pedestrians moving across the roads is a big challenge for in-vehicle embedded systems. Because the shape features of on-road pedestrians are irregular and complex, so that the detection techniques cost large computational resources. However, the in-vehicle embedded systems only have limited computational resources. To resolve this challenge, we propose fast pedestrian detection...
This paper proposes a novel approach of developing a vision-based forward collision warning system (V-FCW) under an integrated platform with both V-FCW algorithm development and field-test data driven system verification. The developed verification platform provides huge amount of video data collected from field testing under various real driving conditions with labeled ground truth and fast search...
Deep convolutional Neural Networks (DNN) is the state-of-the-art machine learning method. It has been used in many recognition tasks including handwritten digits, Chinese words and traffic signs, etc. However, training and test DNN are time-consuming tasks. In practical vehicle detection application, both speed and accuracy are required. So increasing the speeds of DNN while keeping its high accuracy...
This paper presents a moving object tracking system with a Particle Filter algorithm. A software tool is developed to track an unknown moving object in a sensing region occupied by other dynamic objects. Several components are used to determine objects, to self-localize, and to match the determined objects iteratively in conjunction with the previously determined objects. Each object is labeled with...
Vehicle flow detection is the key technology of intelligence traffic system. In order to overcome the shortcomings of traditional detection method which with low detection precision and is difficult to install and maintenance, a method, based on machine vision, which combines adjacent frame difference and background frame difference is proposed, besides, another method of vehicles count by vertical...
This paper presents a video-based intelligent multidrive vehicle retrograde detection algorithm. Through the vehicle detection and tracking to determine the traffic flow direction on the road, compare the movement direction of vehicles and the traffic flow direction on the road to realize intelligent retrograde detection of multi-drive vehicles. Experiments show that the method is simple and effective...
We address the problem of 3D model based vehicle tracking from monocular videos of calibrated traffic scenes. A 3D wire-frame model is set up as prior information and an efficient fitness evaluation method based on image gradients is introduced to estimate the fitness score between the projection of vehicle model and image data, which is then combined into a particle filter based framework for robust...
This paper aims at detecting preceding vehicles in a variety of distance. A sub-region up-scaling scheme significantly raises far distance detection capability. Three frame pipeline structures involving object predictors are explored to further enhance accuracy and efficiency. It claims a 140-meter detecting distance along proposed methodology. 97.1% detection rate with 4.2% false alarm rate is achieved...
Detecting moving objects is a significant component in many machine vision systems. One of the challenges in real world motion detection is the unstability of the background. An ideal method is expected to reliably detect interesting movements from videos while ignoring background/uninteresting movements. In this paper, Genetic Programming (GP) based motion detection method is used to tackle this...
Automatic License Plate Recognition is useful for real time traffic management and surveillance. License plate recognition usually contains two steps, namely license plate detection/localization and character recognition. Recognizing characters in a license plate is a very difficult task due to poor illumination conditions and rapid motion of vehicles. When using an OCR for character recognition,...
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...
Probe car system is used to provide real-time traffic information for telematics service. Although probe car technology is a well-known technology, how to appropriately evaluate the accuracy of a probe car system is still an unsolved issue. This paper compares several methods that are applied in the evaluation of probe car system. The shortcoming of each method is shown through data analysis of field...
Robust and reliable traffic surveillance system is an urgent need to improve traffic control and management. Vehicle flow detection appears to be an important part in surveillance system. The traffic flow shows the traffic state in fixed time interval and helps to manage and control especially when there's a traffic jam. In this paper, we propose a traffic surveillance system for vehicle detection...
A new and rapid scheme for detecting vehicles based on video by single camera at urban intersection is proposed. Firstly a rapid judgment algorithm of vehicle direction is introduced, with motion object segmentation by means of frame-difference method and morphology. It extracts the unique interested region from multiple objective through the modified region-growth algorithm, gets motion direction...
Finding the three-dimensional representation of all or a part of a scene from a single two dimensional image is a challenging task. In this paper we propose a method for identifying the pose and location of objects with circular protrusions in three dimensions from a single image and a 3d representation or model of the object of interest. To do this, we present a method for identifying ellipses and...
Detecting objects (including all kinds of vehicles, bicycles, and pedestrians) accurately and efficiently is an essential issue in blind-spot information system (BLIS). To meet these requirements, this paper presents an image-based method to detect approaching objects in blind-spot area and proposes a verification method by using the recorded video database from real traffic environment. By taking...
The motivation of this paper is to propose a simple and reliable method to identify on-road vehicle events, particularly in the driving situations. A content rhythm is extracted by applying a virtual line lies on the same position of each frame. Thereupon a simplified representation of a continuous video is to record the temporal information of vehicle status. Thus, vehicle situations such as lane...
This paper introduce a method of car license plate location which use the hue component in effect. Strengthen the blue component firstly, then set the appropriate threshold for location according to the regional color information. If no useful, transform the image by HSV, based on strengthening the blue component, and make the other regional black.Thus we can locate the car license plate accurately.
We present a technique used for frontal collision warning in an intelligent vehicle. The system uses an image processing algorithm to detect taillights (red brake lights) of vehicles driving at night time. The area of red lights, the size of the largest brake lights, and the vehicle's speed are used to compute the rear-end collision risk, which can be used as an indicator to danger that potentially...
Location detection method based on vision of motional vehicle is studied in this paper. Conventional method is frame difference method, which is realized by contrasting the different of sequential two frames of vehicle image, and which is easy to detect the background of current frame sheltered by previous frame. Second-difference algorithm is improved in the text, which is the improved algorithm...
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