Our image evaluation system Xtrack tracks multiple-vehicle-configurations in image sequences. The resulting geometric state descriptions are associated with fuzzy attributes and relations and thereby form the basis for incremental characterization of traffic situations from the point of view of selected road users or observers. Knowledge representation and inference is performed by means of Fuzzy Metric Temporal Logic (FMTL) in order to provide an in-depth analyzable transition from raw video data to conceptual descriptions of traffic situations
Today, cameras mounted in vehicles are used to observe the driver as well as the objects around a ve...
Utilization of camera systems for surveillance tasks (e. g. traffic monitoring) has become a standar...
This contribution addresses the generation of textual descriptions in several natural languages for ...
AbstractOur 3D-model-based Computer Vision subsystem extracts vehicle trajectories from monocular di...
. During evaluation of real--world traffic scenes, we often encounter the situation that the vehicle...
This contribution addresses the problem to extract a conceptual description of moving vehicles in im...
This work is about the autonomous detection of a road traffic incident by exploiting road surveillan...
© 2016 IEEE. One of the problems encountered by motorists are congested roads. Current technology ca...
In this paper, we present an image understanding system using fuzzy sets and fuzzy measures. This sy...
The article introduces a general survey of concepts used in traffic monitoring applications. It desc...
Real-time traffic flow analysis using road mounted surveillance cameras presents multitude of benefi...
This work describes an approach for the interpretation and explanation of human behavior in image se...
AbstractIn this paper a novel approach for recognizing actions in video sequences is presented, wher...
Vehicle detectors (VDs) are usually distributed in a road network to detect macroscopic traffic situ...
The image sequence evaluation system Xtrack detects, initializes, and tracks images of moving road v...
Today, cameras mounted in vehicles are used to observe the driver as well as the objects around a ve...
Utilization of camera systems for surveillance tasks (e. g. traffic monitoring) has become a standar...
This contribution addresses the generation of textual descriptions in several natural languages for ...
AbstractOur 3D-model-based Computer Vision subsystem extracts vehicle trajectories from monocular di...
. During evaluation of real--world traffic scenes, we often encounter the situation that the vehicle...
This contribution addresses the problem to extract a conceptual description of moving vehicles in im...
This work is about the autonomous detection of a road traffic incident by exploiting road surveillan...
© 2016 IEEE. One of the problems encountered by motorists are congested roads. Current technology ca...
In this paper, we present an image understanding system using fuzzy sets and fuzzy measures. This sy...
The article introduces a general survey of concepts used in traffic monitoring applications. It desc...
Real-time traffic flow analysis using road mounted surveillance cameras presents multitude of benefi...
This work describes an approach for the interpretation and explanation of human behavior in image se...
AbstractIn this paper a novel approach for recognizing actions in video sequences is presented, wher...
Vehicle detectors (VDs) are usually distributed in a road network to detect macroscopic traffic situ...
The image sequence evaluation system Xtrack detects, initializes, and tracks images of moving road v...
Today, cameras mounted in vehicles are used to observe the driver as well as the objects around a ve...
Utilization of camera systems for surveillance tasks (e. g. traffic monitoring) has become a standar...
This contribution addresses the generation of textual descriptions in several natural languages for ...