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Fusion of spectral and spatial information for classification of hyperspectral remote-sensed imagery by local graph

Hyperspectral imagery contains a wealth of spectral and spatial information that can improve target detection and recognition performance. Conventional feature extraction methods cannot fully exploit both spectral and spatial information. Data fusion …

Processing of multiresolution thermal hyperspectral and digital color data: outcome of the 2014 IEEE GRSS data fusion contest

This paper reports the outcomes of the 2014 Data Fusion Contest organized by the Image Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE Geoscience and Remote Sensing Society (IEEE GRSS). As for previous years, the IADF TC organized …

Vehicle matching in smart camera networks using image projection profiles at multiple instances

Image projection clues for improved real-time vehicle tracking in tunnels

Vehicle tracking is of great importance for tunnel safety. To detect incidents or disturbances in traffic flow it is necessary to reliably track vehicles in real-time. The tracking is a challenging task due to poor lighting conditions in tunnels and …

Real-time detection of traffic events using smart cameras

With rapid increase of number of vehicles on roads it is necessary to maintain close monitoring of traffic. For this purpose many surveillance cameras are placed along roads and on crossroads, creating a huge communication load between the cameras …

Real-time vehicle matching for multi-camera tunnel surveillance

Tracking multiple vehicles with multiple cameras is a challenging problem of great importance in tunnel surveillance. One of the main challenges is accurate vehicle matching across the cameras with non-overlapping fields of view. Since systems …

Automatic individual detection and separation of multiple overlapped nematode worms using skeleton analysis

We present a new method for detection and separation of individual nematode worms in a still image. After pre-processing stage, which includes image binarization, filling the small holes, obtaining the skeleton of the new image and pruning the extra …

Object tracking using naive Bayesian classifiers

This work presents a tracking algorithm based on a set of naive Bayesian classifiers. We consider tracking as a, classification problem and train a set of classifiers which distinguish a target object from the background around it. Classifiers' …