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This paper presents a new real time lane detection and tracking system which succeeds in sharp curved roads. The Warp Perspective Mapping (WPM) method was used to change the video image perspective to top view. A two dimensional Gabor filter and vertical pixel density calculation method was used to find initial lane regions. Second derivative approach of Composite Bezier spline fitting method calculates...
As traffic surveillance technologies continue to grow worldwide, vehicle detection, counting and tracking are becoming increasing important. This paper proposes a real-time multi-vehicle detection and tracking approach. Lane marker detection is carried out for vehicle counting on each lane. It also helps remove the foreground noise and shadow. Instead of tracking the entire vehicle blob, vehicle sub-feature...
In order to solve the problem of real-time factor and accuracy factor in video image tracking, we present a real-time tracking algorithm of moving vehicle based on feature points. We provide a simple and practical feature points matching algorithm using Adaptive Kalman Filter (AKF). The results of simulation experiments show that the algorithm performs well in fast tracking maneuvering target, which...
Existing pedestrian and vehicle detection algorithms use 2D cues of objects, such as pixel values, color, texture, shape information or motion. The use of 3D cues in object detection, on the other hand, is not well studied in the literature. In this paper, we propose an efficient algorithm that detects pedestrian and vehicle using their 3D cues. The proposed algorithm first detects moving objects...
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