4 Papers
39 Citations
Javid Ullah is an academic researcher from National University of Computer and Emerging Sciences. The author has contributed to research in topics: Image segmentation & Optical flow. The author has an hindex of 4, co-authored 4 publications.
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Papers
Color image segmentation: a novel spatial fuzzy genetic algorithm
TL;DR: This article has applied spatial fuzzy genetic algorithm (SFGA) for the unsupervised segmentation of color images and shows that the proposed technique outperforms state-of-the-art methods.
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Object and motion cues based collaborative approach for human activity localization and recognition in unconstrained videos
TL;DR: The detailed experimentation reveals that the proposed approach performs better than state-of-the-art action localization and recognition approaches.
9
Motion cues and saliency based unconstrained video segmentation
TL;DR: This paper proposes a fully automatic, efficient, fast and composite framework to segment the moving object on the basis of saliency, locality, color and motion cues, and proposes a new saliency measure to predict the potential salient regions.
8
Color image segmentation using genetic algorithm with aggregation-based clustering validity index (CVI)
TL;DR: A new CVI is proposed to perform the color image segmentation that combines compactness, separation and overlap to assess the clustering quality effectively and performs better compared to other state-of-the-art methods.