Pattern matching is widely used in signal processing, computer vision, and image and video
processing. Full search equivalent algorithms accelerate the pattern matching process and …

Face recognition is considered to be one of the most reliable biometric, when security issues
are taken into concern. For this, feature extraction becomes a critical problem. Different …

This paper describes a real-time method for foreground/background segmentation of a color
video sequence based primarily on range data of a time-of-flight sensor. This method uses …

Fast training and testing procedures are crucial in biometrics recognition research.
Conventional algorithms, eg, principal component analysis (PCA), fail to efficiently work on …

This paper deals with fast vanishing point estimation for autonomous robot navigation.
Preceding approaches showed suitable results and vanishing point estimation was used in …

Subspace learning is the process of finding a proper feature subspace and then projecting
high-dimensional data onto the learned low-dimensional subspace. The projection …

Pattern matching is a widely used procedure in signal processing, computer vision, image
and video processing. Recently, methods using Walsh Hadamard Transform (WHT) and …

This paper presents an effective traffic lights recognition method at the daytime. First,
Potential Traffic Lights Detector (PTLD) use whole color source of YCbCr channel image …

This paper presents a fast part-based subspace selection algorithm, termed the binary
sparse nonnegative matrix factorization (B-SNMF). Both the training process and the testing …

Current shared-memory multiprocessors are inherently vulnerable to faults: any significant
hardware or system software fault causes the entire system to fail. Unless provisions are …