Crowd Estimation Using Region-Specific HOG with SVM
© 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 Oriente...
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oai:animorepository.dlsu.edu.ph:faculty_research-16782022-07-20T02:58:06Z Crowd Estimation Using Region-Specific HOG with SVM Ilao, Joel P. Cordel, Macario © 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. 2018-09-06T07:00:00Z text text/html https://animorepository.dlsu.edu.ph/faculty_research/679 https://animorepository.dlsu.edu.ph/context/faculty_research/article/1678/type/native/viewcontent Faculty Research Work Animo Repository |
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De La Salle University |
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© 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. |
| format |
text |
| author |
Ilao, Joel P. Cordel, Macario |
| spellingShingle |
Ilao, Joel P. Cordel, Macario Crowd Estimation Using Region-Specific HOG with SVM |
| author_facet |
Ilao, Joel P. Cordel, Macario |
| author_sort |
Ilao, Joel P. |
| title |
Crowd Estimation Using Region-Specific HOG with SVM |
| title_short |
Crowd Estimation Using Region-Specific HOG with SVM |
| title_full |
Crowd Estimation Using Region-Specific HOG with SVM |
| title_fullStr |
Crowd Estimation Using Region-Specific HOG with SVM |
| title_full_unstemmed |
Crowd Estimation Using Region-Specific HOG with SVM |
| title_sort |
crowd estimation using region-specific hog with svm |
| publisher |
Animo Repository |
| publishDate |
2018 |
| url |
https://animorepository.dlsu.edu.ph/faculty_research/679 https://animorepository.dlsu.edu.ph/context/faculty_research/article/1678/type/native/viewcontent |
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