DETECTION AND CLASSIFICATION OF HUMAN NORMAL VERSUS ABNORMAL ACTIVITIES USING L SYSTEM

Abstract

In this project, Inverse L-systems are presented as the foundation of a computer graphics tool for simulating and visualizing the development ofHuman Behavior Technique. The resulting strings can be interpreted geometrically and visualized using computer graphics techniques to create both realistic and schematic images of the modelled structures. The formalism can be applied for a variety of scientific, educational, and commercial purposes. Inverse L-systems extend the original concept ofL-systems by associating numerical parameters with the symbols representing plant components. This allows easy quantification of geometric attributes of a model and provides a simple means for the expression of continuous processes, such as diffusion of hormones and the resulting distribution of concentrations. Human Normal & Abnormal Behavior & activities help to study about different circumstances and distinguish that can lead to generate useful result based on human performing tasks and certain behavior.