Explicit contour model for vehicle tracking with automatic hypothesis validation

Abstract

This paper addresses the problem of vehicle tracking under a single static, uncalibrated camera without any constraints on the scene or on the motion direction of vehicles. We introduce an explicit contour model, which not only provides a good approximation to the contours of all classes of vehicles but also embeds the contour dynamics in its parameterized template. We integrate the model into a Bayesian framework with multiple cues for vehicle tracking, and evaluate the correctness of a target hypothesis, with the information implied by the shape, by monitoring any conflicts within the hypothesis of every single target as well as between the hypotheses of all targets. We evaluated the proposed method using some real sequences, and demonstrated its effectiveness in tracking vehicles, which have their shape changed significantly while moving on curly, uphills roads.

Development of a tracking-based system for automated traffic data collection for roundabouts

“…Among some reported methods for vehicle tracking [36][37][38], we propose to combine region-based tracking [8] with kernel-based tracking [39,40]. After vehicle segmentation, results are binary blobs in the image and these blobs are extracted and classified as vehicles if they meet at least the threshold size.…”

Development of a multiple‐camera 3D vehicle tracking system for traffic data collection at intersections

“…After segmentation, vehicle tracking is to derive the complete vehicle trajectory for later traffic data collection. Some widely used methods for vehicle tracking are region‐based [16], contour‐based tracking [17], model‐based tracking [18–21], and feature‐based tracking [22] including more recent probabilistic approaches [23] or a combination of the above methods [24]. The contour‐based and feature‐based approaches are considered to be more robust to variation in brightness and image noise [11].…”

An iterative approach for fitting multiple connected ellipse structure to silhouette

“…Over the last decade, various techniques have been developed for registering 2D and 3D models to images, from simple geometrical shape models such as a vehicle (Yiu et al, 2005) to more complex models such as human limbs tracking (Bernier et al, 2009;Fossati et al, 2008) and hand model fitting (Du and Charbon, 2007).…”