Vision for intelligent vehicles is a growing area of research [5] for many practical reasons including the relatively inexpensive nature of camera sensing units and even more the non-contact and non-intrusive manner of observation. The latter is of critical importance when observing the driver inside the vehicle cockpit because no sensing unit should impede the driver’s primary task of driving....

This paper presents an in-vehicle real-time monocular precrash vehicle detection system. The system acquires grey level images through a forward facing low light camera and achieves an average detection rate of 10Hz. The vehicle detection algorithm consists of two main steps: multi-scale driven hypothesis generation and appearancebased hypothesis verification. In the multi-scale hypothesis gene...

Vision-based vehicle detection is an important issue for advanced driver assistance systems. In this paper, we presented an improved multi-vehicle detection and tracking method using cascade Adaboost and Adaptive Kalman filter(AKF) with target identity awareness. A cascade Adaboost classifier using Haar-like features was built for vehicle detection, followed by a more comprehensive verification...

An approach for detecting and tracking vehicles are proposed in these paper. Traffic safety applications using vehicle-to-vehicle communication is an emerging and promising area within the environment. By using a single rear-mounted fisheye camera and multiple detection algorithms to find the blind zone of the vehicle. It is driving safety supported system. Furthermore, the effects of fisheye d...

Drug testing outside the laboratory environment has become widespread and provides presumptive results within minutes of collection of the specimen. This has become particularly useful for testing of urine and oral fluid. Applications include workplaces where drug use has safety implications, drivers of vehicles at the roadside and situations where drug impairment is suspected. The present arti...

In this paper, we proposed a novel method for visible vehicle tracking in traffic video sequence using model based strategy combined with spatial local features. Our tracking algorithm consists of two components: vehicle detection and vehicle tracking. In the detection step, we subtract the background and obtained candidate foreground objects represented as foreground mask. After obtaining fore...