Detection and tracking of moving object using modified background subtraction and Kalman filter

Moving object detection and tracking (MODT) is the major challenging issue in computer vision, which plays a vital role in many applications like robotics, surveillance, navigation systems, militaries, environmental monitoring etc. There are several existing techniques, which has been used to detect and track the moving object in Surveillance system. Therefore it is necessary to develop new algorithm or modified algorithm which is robust to work in both day and night time. In this paper, modified BGS technique is proposed. The video is first converted to number of frames, then these frame are applied to modified background subtraction technique with adaptive threshold which gives detected object. Kalman filter technique is used for tracking the detected object. The experimental results shows this proposed method can efficiently and correctly detect and track the moving objects with less processing time which is compared with existing techniques

Gymnosperms of Nilgiris District, Tamil Nadu

Gymnosperms are seed bearing vascular plants; an intermediate of Pteridophytes and Angiosperms occupying an important place in the plant kingdom. In the present study 43 species belonging to 20 genera comes under 10 families. The wild and exotic species are catalogue in Government botanical garden at Udhagamandalam for conservation strategies

Robust hybrid technique for moving object detection and tracking using cartoon features and fast PCP

In various computer vision applications, the moving object detection is an essential step. Principal Component Analysis (PCA) techniques are often used for this purpose. However, the performance of this method is degraded by camera shake, hidden moving objects, dynamic background scenes, and / or fluctuating exposure. Robust Principal Component Analysis (RPCA) is a useful approach for reducing stationary background noise as it can recover low rank matrices. That is, moving object is formed by the low power models and the static background of RPCA. This paper proposes a simple alternative minimization algorithm to fix minor discrepancies in the original Principal Component Pursuit (PCP) or RPCA function. A novel hybrid method of cartoon texture features used as a data matrix for RPCA taking into account low-ranking and rare matrix is presented. A new non-convex function is proposed to better control the low-range properties of the video background. Simulation results demonstrate that the proposed algorithm is capable of giving consistent random estimates and can indeed improve the accuracy of object recognition in comparison with existing methods

BUTTERFLIES NECTAR FOOD PLANTS FROM GLENMORGAN, THE NILGIRIS, TAMIL NADU, INDIA

ABSTRACT: Butterflies are important components of biodiversity and play an important role in the food chain of a forest ecosystem. An attempt was being made to enumerate the butterfly nectar food plants in Glenmorgan, Nilgiris District, Tamil Nadu. The present study has been aimed to explore the floral attributes of nectar feeding butterflies in relation to relative abundance. A total of 65 species of butterflies belonging to 5 families were recorded as flower visitor and nectar feeding on 84 species of plants belong to 69 genera and 30 families. The highest number of butterflies belonging to the family Nymphalidae 26 species, Pieridae 14 species, Lycaenidae 13 species, Hesperiidae and Papilionidae with 6 species. Plant visitors of different butterfly species varied considerably; while some were highly seasonal, others had staggered for flowering and vegetative habitats

The checklist of Impatiens Riv. ex L. (Balsaminaceae) in Nilgiri and Palani Hills of southern Western Ghats (India)

A comprehensive checklist of the genus Impatiens Riv. ex L. (Balsaminaceae) in Nilgiri and Palani of southern Western Ghats, India is presented. After thorough field explorations in these areas from 2012 to 2020 in different seasons, 38 species of Impatiens are recorded, in which 6 species are endemic to Western Ghats and 26 species are endemic to southern Western Ghats of India. Horticultural potential of 18 endemic species of balsam is also discussed.W artykule zamieszczono obszerną listę gatunków z rodzaju Impatiens Riv. ex L. (Balsaminaceae), odnotowanych w Nilgiris i na Wzgórzach Palanis (południowa część Ghatów Zachodnich w Indiach). Po dokładnych badaniach terenowych, przeprowadzonych w różnych porach roku w latach 2012-2020, zarejestrowano na analizowanym obszarze 38 gatunków niecierpka, w tym 6 gatunków endemicznych dla całych Ghatów Zachodnich i 26 gatunków dla południowej części Ghatów Zachodnich. Krótko omówiono również potencjał ogrodniczy 18 endemicznych gatunków niecierpków