A Feature Weighting Technique on SVM for Human Action Recognition

626-630Human action recognition is a challenging research topic and attracted very good attention in the last few years. This paper presents a features weighting framework for human action recognition based on the movement of different body-parts. Intuitively, Understanding the motion of a particular body-part having a major contribution to a specific action gives a better representation of that human activity. For example, action like walking, running and jogging, movement of the leg is more important and in boxing, waving and clapping, hand movement is more effective. This work presents a technique, utilizing the sub-region body-parts recognition rate to the weight kernel function. First, the complete human body is extracted from the background and HOG (histogram of gradient) based body-part detection is applied to generate three different sub-region (head, arm and body, foot and leg) of complete human body. Recognition rate and weight is calculated for all these sub-region (body-parts) for a particular action. Based on the weight (ω) of sub-region, a weighted feature Gaussian kernel function is obtained and weighted feature support vector machine (WF-SVM) classifier is constructed. The experimental results of the proposed framework have better performance on both KTH and UCF-ARG datasets compared against several state-of-the-art methods

Acaricidal activity of nishinda (Vitex negundo) leaf and garlic (Allium sativum) bulb extract against red spider mite, Oligonychus coffeae (Acari: Tetranychidae) in tea plantations of Darjeeling hill, West Bengal, India

The red spider mite, Oligonychus coffeae (Nietner) serves as a serious threat to the Darjeeling tea plantations affecting the quality of the leaves. Various plant extracts are currently being researched as an alternative to the chemical pesticides to control the red spider mites. In the present study, the leaves of Vitex negundo L. and the bulb of Allium sativum L. were analyzed for their acaricidal activity on the larval, nymphal and adult stages of the mite. Both the extracts were found to have potent activity against red spider mites and may prove to be potential acaricides in future

An outbreak of foodborne gastroenteritis caused by dual pathogens, Salmonella enterica serovar Weltevreden and Vibrio fluvialis in Kolkata, India

Salmonella enterica serovar Weltevreden and Vibrio fluvialis were identified as etiological agents of a foodborne gastroenteritis outbreak after an Iftar feast in North Dumdum. Of the 278 cases admitted to the Infectious Diseases Hospital, Kolkata, 44 stool samples were tested for the enteric pathogens. Six were positive for Salmonella Weltevreden, 5 for Vibrio fluvialis, and 8 contained both of the pathogens. Consumption of mutton-ghogni might have been the likely vehicle of this outbreak. In the pulsed-field gel electrophoresis, Salmonella Weltevreden was identified as a single clone but the V. fluvialis strains were heterogeneous

Agriculture and rural transformation in India /

Includes index

Reaction sintering of magnesium aluminates: Effect of MgSO4

The effect of additive MgSO4 on the strength characteristics for all reaction-sintered MgO:Al2O3 was discussed. The starting oxides, MgO and Al2O3 were characterized using chemical analysis, powder x-ray diffractometry (XRD) using CuK radiation, specific gravity and specific surface area. Batch composition oxides were used and each MgSO4 composition was added at 0.5, 1 and 2 wt%. Addition of MgSO4 to stochiometric spinel shows a negative effect at 0.5 wt% on sintering at 1550°C but a higher amount of additive resulted in some improvement