Using CNN Algorithm Detection of Suspicious Activity from Video Surveillance
Detecting suspicious human activity involves predicting the positions of body parts or joints from an image or video. This problem has been extensively studied in computer vision for over 15 years. It is crucial because there are numerous applications that can benefit from activity detection. For in...
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| Published in: | International journal for research in applied science and engineering technology Vol. 11; no. 5; pp. 7191 - 7196 |
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| Main Author: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
31.05.2023
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| ISSN: | 2321-9653, 2321-9653 |
| Online Access: | Get full text |
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| Summary: | Detecting suspicious human activity involves predicting the positions of body parts or joints from an image or video. This problem has been extensively studied in computer vision for over 15 years. It is crucial because there are numerous applications that can benefit from activity detection. For instance, human pose estimation is used in various areas such as video surveillance, tracking and understanding animal behaviour, detecting sign language, improving human-computer interaction, and capturing motion without markers. |
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| ISSN: | 2321-9653 2321-9653 |
| DOI: | 10.22214/ijraset.2023.53392 |