Literature survey for people counting and human detection
نویسنده
چکیده
People counting is a crucial and challenging problem in visual surveillance. Automatic monitoring of the number of people in public areas is important for safety control and urban planning. For this purpose many techniques and methods have been proposed. These techniques are not producing high performance and better accuracy for complicated scenes counting. Recently Foreground Extraction and Expectation Maximization (EM) based methods are proposed, which provides a better accurate solution for people counting and finding individual location. This literature survey discusses some of the existing methods and their performance.
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