The traffic surveillance system is a type of intelligent control. Traffic control provides solutions to most problems faced by people. It helps monitor, detect congestion and accidents. As science evolved, it became possible using video surveillance. Video the economical option that does not involve high costs or changes in infrastructure. Vehicle detection one main parts system. In this paper,...

Pedestrian detection is the key technology in Advanced Driver Assistant System (ADAS).Until recently, pedestrian detection, which is realized as the vehicle equipment, still doesn't have the mature product. So, this thesis proposes a novel pedestrian detection system on board with the E-HOG (Histogram of Gradient) IP (intellectual property), can be used as the real time vehicle equipment. Three...

automatic road extraction from aerial images can be very helpful in traffic control and vehicle guidance systems. most of the road detection approaches are based on image segmentation algorithms. color-based segmentation is very sensitive to light changes and consequently the change of weather condition affects the recognition rate of road detection systems. in order to reduce the light change ...

This paper provides a comparison between two of the most used visual descriptors (image features) nowadays in the field of object detection. The investigated image features involved the Haar filters and the Histogram of Oriented Gradients (HoG) applied for the on road vehicle detection. Tests are very encouraging with a average detection of 96% on realistic on-road vehicle images.

The performance of automotive controller area network (CAN) for safety driving applications based on the radar sensors is tightly related to the target vehicle detection. The presented paper deals with introduction of appropriate signal detection and signal processing techniques for closing vehicle detection (CVD) based on FMCW radar.

---------------------------------------------------------------------***-----------------------------------------------------------------------Abstract This paper presents a scheme for vehicle detection and tracking and categorization from pavement CCTV in traffic surveillance. The system counts vehicles and separate them into four categories: car, van, bus and motorbike. A new backdrop Gaussia...

This project implements a vehicle detection and tracking system. This framework uses Haar cascade classifier for vehicle detection, and uses car-light features for validation. In order to smooth the detection and refine the detection result further, Kalman tracking is applied to every car hypothesis, additionally, a three-stage tracking is employed. Experiment shows that the car-light validatio...

This paper proposes a vehicle detection system for identifying the moving vehicles at night which is far distance away by locating their rear-lights in the road. Many advanced driver-assistance systems (ADAS), such as collision mitigation, automatic cruise control (ACC) and automatic headlamp dimming were proposed by many researchers for driver assistance. We present a novel image processing sy...

Vehicle detection at night time is a challenging problem which deals with inadequately illuminated images of low contrast and reduced visibility. In this paper, an efficient region of interest (ROI) extraction approach which combines vehicle light detection and object proposals together with fusion-based score-level feature technique is proposed. The scorelevel multi-feature fusion method invol...

This paper details a range of work carried out by the authors within the general theme of advanced condition monitoring possibilities for rail vehicle bogies. Maintenance of rail vehicle bogies represents one of the largest areas of whole vehicle running costs and their efficient operation is of safety critical importance to the entire rail system. Currently the majority of maintenance is carri...