Crowd Estimation Using Region-Specific HOG with SVM
College
College of Computer Studies
Department/Unit
Computer Technology
Document Type
Conference Proceeding
Source Title
Proceeding of 2018 15th International Joint Conference on Computer Science and Software Engineering, JCSSE 2018
Publication Date
9-6-2018
Abstract
© 2018 IEEE. Algorithms that perform crowd estimation are dependent on crowd levels. The two approaches to crowd estimation discussed are the model-based and texture-based approaches. The aim of this work is to determine the precision, recall and F-measure of the two algorithms, Histogram of Oriented Gradients (HOG) with Support Vector Machines (SVM) and Region-Specific HOG, for estimating the number of people in high and low crowd levels, respectively, in an indoor area installed with a surveillance camera, while considering the camera's position and its field of view.
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Digitial Object Identifier (DOI)
10.1109/JCSSE.2018.8457384
Recommended Citation
Ilao, J. P., & Cordel, M. (2018). Crowd Estimation Using Region-Specific HOG with SVM. Proceeding of 2018 15th International Joint Conference on Computer Science and Software Engineering, JCSSE 2018 https://doi.org/10.1109/JCSSE.2018.8457384
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