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Recent advances in scene understanding and related tasks have highlighted the importance of using regions to reason about high-level scene structure. Typically, the regions are selected beforehand and then an energy function is defined over them. This two step process suffers from the following deficiencies: (i) the regions may not match the boundaries of the scene entities, thereby introducing errors;...
We address the problem of Kannada character recognition, and propose a recognition mechanism based on k-means clustering. The large dataset of Kannada characters and their similarity makes the problem one order of magnitude more difficult than for a standard language like English. We propose a segmentation technique to decompose each character into components from 3 base classes, thus reducing the...
We present an approach for real-time tracking of a non-rigid target with a moving pan-tilt-zoom (PTZ) camera. The tracking of the object and control of the camera is handled by one computer in real time. The main contribution of the paper is method for target representation, localisation and detection, which takes into account both foreground and background properties, and is more discriminative than...
The paper proposes an efficient quad-tree based filtering algorithm for the restoration of impulse corrupted digital images. The quad-tree decomposition stage facilitates pixel classification in the impulse detection phase and minimizes miss-classification of signals as impulses by clearly distinguishing the high frequency image details from impulse corrupted pixels. The adaptive restoration phase...
An approach involving a new ant colony optimization (ACO) and fuzzy derivative is presented to tackle the image edge detection problem. Ant colony optimization (ACO) is inspired from the foraging behavior of some ant species which deposit pheromone on their way. Ant colonies and more generally social insects act as a distributed system presenting a highly structured social organization. They communicate...
We numerically analyze phase-sensitive parametric amplification of a multi-pixel text image and demonstrate that ~10-dB gain is achievable with ~10-kW total pump peak power, which makes it compatible with compact pump sources.
Signature can be seen as an individual characteristic of a person which if modeled with precision can be used for his/her validation. Automatic signature verification is a technique that saves time and money. The paper is focused on skilled forgery detection. In addition, it also lays emphasis on the extraction of the critical regions which are more prone to mistakes. It follows a graph matching approach,...
A robust approach to detection and tracking of multiple moving targets from a moving camera is presented. The main novelty of this approach is that objects are represented using efficient compact form of the colour correlogram. Like previous correlograms, this encodes both spatial pattern and appearance information about the target. However it is less complex to compute, making it applicable to real...
The paper proposes a 2D impulse filtering algorithm for the restoration of impulse corrupted digital images. The algorithm incorporates a quad-tree decomposition stage to facilitate pixel classification in the impulse detection phase and an efficient adaptive filtering scheme in the restoration phase. The impulse detection scheme of the algorithm avoids mis-classification of signals as impulses by...
This paper describes an approach to tracking multiple independently moving objects observed from moving cameras. The method addresses difficulties typically associated with tracking, including changes in background, parallax in the scene, arbitrary camera motion, object occlusions, cross-overs, and appearance changes. Using a bottom up approach, independently moving objects are detected in images...
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