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Publication Type : Conference Paper
Publisher : 2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI)
Source : 2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI) (2019)
Keywords : Classification algorithms, Custom dataset, embedded platform, Embedded systems, Feature extraction, Haar transforms, Haar-like features, Haar– like features, Histogram of oriented gradients, Histograms, Human detection, human presence detection, Image color analysis, Image edge detection, Image processing, image processing techniques, Microsoft Windows, Object Detection, OpenCV, Performance analysis
Campus : Coimbatore
School : School of Engineering
Department : Electrical and Electronics
Year : 2019
Abstract : The performance analysis of Haar-like features and Histogram of Oriented Gradients suited for detecting human presence in an image is presented here. The algorithms are implemented using OpenCV on an embedded platform. The algorithms were evaluated for a dataset comprising of 2850 images. The implementation details, comparison of algorithms and results obtained are discussed in detail.
Cite this Research Publication : K. Padmavathi and Nithin S, “Comparison of Image processing techniques for detecting human presence in an image”, in 2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI), 2019.