Selecting Ghosts and Queues from a Car Trackers Output Using a Spatio-Temporal Query Language

This paper presents a spatio-temporal query language useful for video interpretation and event recognition. The language is suited to describe configurations of objects moving on a plane. To demonstrate its applicability it has been tested on the output of a tracker working on a car traffic scene. The results of two example sets of queries are shown in two videos generated from the trackers data output. The first selects a ghost from the tracking data and the second shows how to find queues of cars in the road traffic scene without prior knowledge of lanes.

• Type: Conference
• Year: 2004
• Where: CVPR
• Authors: Christian Köhler
• Keywords: Car Traffic Scene, Computer Vision, CVPR 2004, Road Traffic Scene, Spatio-temporal Query Language, Trackers Data Output