There is tremendous pressure on the natural resources due to increasing population. To meet the demands of large population means the need for more food production, more requirement of energy, more water requirement, better civic amenities for a reasonable quality of urban life, more infrastructure development to sustain increasing pressure and increased per-capita expenditure for maintaining quality of life. Land resources being finite imply more judicious use of land resources to meet the ever-increasing demands. The unsustainable and unplanned exploitation of land resources is the major reason for degradation of our environment. The main issue is to bring a balance between economic development and conservation of resources, which is possible by proper inventory, and management of these resources on periodic basis. Recent technologies of Remote Sensing (RS) and Geographic Information System (GIS) have made it feasible and cost effective. Present study deals with RS and GIS based monitoring of land use/ land cover changes in northern part of Gurgaon District, Haryana. Total area under study is about 697 sq. km. IRS 1B LISS II satellite data paper prints
Abstract-Visual surveillance System is used for analysis and interpretation of object behaviors. It involves object classification to understand the visual events in videos. In this review paper various object classification methods are used. Classification technique plays an important role in surveillance system that is used for the classification of both objects like static and moving objects in a better way. The methods in object classification are used to extract meaningful information and various features that are needed for representation of data. In this survey, we described various approaches for moving objects that are used in classification for video surveillance system based on shape and motion.
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