For direct phasing of protein crystals, a method based on the hybrid-input-output (HIO) algorithm has been proposed and tested on a variety of structures. So far, however, the diffraction data have been limited to high-resolution ones, i.e., higher than 2 Å. In principle, the methodology can be applied to data of lower resolutions, which might be particularly useful for phasing membrane protein...

Recent investigations have shown the advantages of keeping multiple hypotheses during visual tracking. In this paper we explore an alternative method, which presents the concepts of histogram matching technique and absolute frame subtraction to implement a robust automated object tracking system. The object is later tracked using discrete kalman filter technique. Such a tracking system reduces ...

This paper presents principle line based palm print matching model as principle lines are easily extracted in even in low resolution images. This paper proposes use of histogram of Radon transform (HRT) to extract the features of palm. However the HRT is sensitive to the rotation and scaling due to normalization process. Therefore here logarithm is employed while discarding the normalization pr...

This paper presents an approach for human detection and simultaneous behavior recognition from images and image sequences. An action representation is derived by applying a clustering algorithm to sequences of Histogram of Oriented Gradient (HOG) descriptors of human motion images. For novel image sequences, we first detect the human by matching extracted descriptors with the prototypical actio...

In this paper, we propose the object tracking method based on color histograms and particle filtering. Particle filtering is a time series filter for estimating a state using probabilistic approach. Unlike deterministic approach such as template matching algorithm, it is more robust to occlusion or clutter because of its having many hypotheses. Moreover, color histograms are robust to partial o...

The constant image brightness (CIB) assumption assumes that the intensities of corresponding points (or planar patches) in two (or more) images are equal. This assumption is central to bodies of work in optical ow estimation, motion and structure, stereo and recognition based on color histograms. However, surprisingly little work has been performed to support this assumption, despite the fact t...

The constant image brightness (CIB) assumption assumes that the intensities of corresponding points (or planar patches) in two (or more) images are equal. This assumption is central to bodies of work in optical ow estimation, motion and structure, stereo and recognition based on color histograms. However, surprisingly little work has been performed to support this assumption, despite the fact t...

This paper addresses the problem of detecting and tracking multiple moving people in a complex environment with unknown background. In this paper, we propose a new correlation-based matching technique for feature-based tracking. Our method was compared with two existing matching techniques, namely the normalized Euclidean distance and histogram-based matching. Experimental results on real-image...