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Considerable research has been done on tracking ground targets, including on-road targets. Lane tracking of an on-road target is a new problem in the ground target tracking area. Knowledge of the lane that a target is located in is of particular interest in on-road surveillance and target tracking systems. This paper proposes a method to track the lane of an on-road target based on a hidden Markov...
The aim of this paper is to present a multiple object tracking data fusion technique, which fuses radar, image, and ego vehicle odometry. The data are fused at a high level, which leads to reliable and stable tracking results providing also additional features as width estimation and the detection of stationary objects. A ldquorealrdquo application of these algorithms is illustrated on a specific...
In the scope of the EU funded TRACKSS project on cooperative advanced sensors for road traffic applications, we investigate the potential of pre-existing road traffic sensors for pedestrian crossing detection. Two road traffic video-sensors provide spatial occupancy rates on areas along a crosswalk. We propose to correct pedestrian under-detection with a double fusion process composed of inter-sensor...
A production system is presented that can help coding knowledge about recognizing structured objects in a declarative way. Together with a respective interpreter it forms the GESTALT-system. This system is particularly suited for the fusion of evidence from different sensors giving data from the same scene, for the inclusion of prior knowledge - such as GIS or digital maps - and for the treatment...
A useful enrichment of videos captured by unmanned aerial vehicles (UAVs) is the annotation of image data or determining coordinates for objects in the video. This requires georeferencing of the video frames. For surveillance or reconnaissance applications, we propose georeferencing of UAV video frames with an ortho-photo. In this process, the challenge is to register temporally different images from...
This paper proposes a new method for multisensor background extraction and updating aimed at surveillance and target detection applications. The background scene extraction is based on robust multisensor change detection of moving objects in the scene. An iterative mechanism updates the background estimate using this information thereby ignoring transient objects but allowing for slow changes in scene...
We present a fast and efficient method to derive and apply natural colours to nighttime imagery from multiband sensors. The colour mapping is derived from the combination of a multiband image and a corresponding daytime colour reference. The mapping optimizes the match between the multiband image and the reference, and yields a nightvision image with colours similar to the daytime image. The mapping...
In this paper we propose an approach for detecting anomalies in data from visual surveillance sensors. The approach includes creating a structure for representing data, building ldquonormal modelsrdquo by filling the structure with data for the situation at hand, and finally detecting deviations in the data. The approach allows detections based on the incorporation of a priori knowledge about the...
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