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RETRIEVAL OF VEHICLE TRAJECTORIES AND ESTIMATION OF LANE GEOMETRY USING NON-STATIONARY TRAFFIC SURVEILLANCE CAMERAS
| Citations: | 2 - 0 self |
BibTeX
@MISC{Melo_retrievalof,
author = {José Melo and Andrew Naftel and Re Bernardino and José Santos-victor},
title = {RETRIEVAL OF VEHICLE TRAJECTORIES AND ESTIMATION OF LANE GEOMETRY USING NON-STATIONARY TRAFFIC SURVEILLANCE CAMERAS},
year = {}
}
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Abstract
A tracking system is presented for obtaining accurate vehicle trajectories using uncalibrated traffic surveillance cameras. Techniques for indexing and retrieval of vehicle trajectories and estimation of lane geometry are also presented. An algorithm known as Predictive Trajectory Merge-and-Split (PTMS) is used to detect partial or complete occlusions during object motion. This hybrid algorithm is based on the constant acceleration Kalman filter and a set of simple heuristics for temporal analysis. The resulting vehicle trajectories are modeled using variable low-order polynomials. A comparative evaluation of several distance metrics used in trajectory cluster analysis, indexing and retrieval is also presented. We propose some changes to metrics presented in previous work and make a comparative study with a modified form of the Hausdorff distance. Some preliminary results are presented on the estimation of lane geometry through K-means clustering of individual vehicle trajectories using the proposed metrics. An advantage of our approach is that estimation of lane geometry can be performed with non-stationary, uncalibrated traffic cameras in real time. 1.
Keyphrases
lane geometry vehicle trajectory simple heuristic uncalibrated traffic camera comparative evaluation complete occlusion modified form previous work accurate vehicle trajectory individual vehicle trajectory hybrid algorithm real time k-means clustering hausdorff distance constant acceleration kalman filter trajectory cluster analysis temporal analysis several distance metric variable low-order polynomial predictive trajectory merge-and-split preliminary result comparative study object motion tracking system uncalibrated traffic surveillance camera
