Mahmudul Hasan

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Perceiving meaningful activities in a long video sequence is a challenging problem due to ambiguous definition of 'meaningfulness' as well as clutters in the scene. We approach this problem by learning a generative model for regular motion patterns (termed as regularity) using multiple sources with very limited supervision. Specifically, we propose two(More)
Most of the state-of-the-art approaches to human activity recognition in video need an intensive training stage and assume that all of the training examples are labeled and available beforehand. But these assumptions are unrealistic for many applications where we have to deal with streaming videos. In these videos, as new activities are seen, they can be(More)
Activity recognition in video has recently benefited from the use of the context e.g., inter-relationships among the activities and objects. However, these approaches require data to be labeled and entirely available at the outset. In contrast, we formulate a continuous learning framework for context aware activity recognition from unlabeled video data(More)
Violaxanthin de-epoxidase (VDE) is a conditionally soluble enzyme located in the thylakoid lumen and catalyses the conversion of violaxanthin to antheraxanthin and zeaxanthin, which are located in the thylakoid membrane. These reactions occur when the plant or algae are exposed to saturating light and the zeaxanthin formed is involved in the process of(More)
Most of the research on human activity recognition has focused on learning a static model, considering that all the training instances are labeled and present in advance, while in streaming videos new instances continuously arrive and are not labeled. Moreover, these methods generally use application-specific hand-engineered and static feature models, which(More)
Leukotriene A4 hydrolase/aminopeptidase (LTA4H) (EC is a bifunctional zinc metalloenzyme with both an epoxide hydrolase and an aminopeptidase activity. LTA4H from the African claw toad, Xenopus laevis (xlLTA4H) has been shown to, unlike the human enzyme, convert LTA4 to two enzymatic metabolites, LTB4 and another biologically active product(More)
The present study was aimed to investigate the gynaeco-pathological disorders by post-mortem and histopathological examination, and to identify the associated bacteria. A total of 310 genital tracts of cows were collected from slaughter house of Dinajpur Sadar Upazilla during April 2009 to March 2010. Among the 310 samples, 31.29% (n=97/310) were affected(More)
Learning human activity models from streaming videos should be a continuous process as new activities arrive over time. However, recent approaches for human activity recognition are usually batch methods, which assume that all the training instances are labeled and present in advance. Among such methods, the exploitation of the inter-relationship between(More)
Activity forecasting has recently become an active research area for its importance in critical applications like automated navigation and human-computer interaction. However, for a video observed upto a certain time, all of the existing forecasting works focus on predicting the activity label, i.e., predicting what the next unobserved activity is. To the(More)
Live Bird Markets (LBMs) in Asian countries are considered as hubs for the spread and maintenance of different infectious diseases. In Bangladesh, LBMs are the major source of live and dressed poultry to consumers and until now only a few studies have been conducted targeting infectious agent status such as avian influenza virus (AIV) prevalence of LBMs in(More)