An effective framework for detecting the object from the video sequences by utilizing deep learning with hybrid technology
| Autor: | Ravi Prakash Chaturvedi, Udayan Ghose |
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| Rok vydání: | 2023 |
| Zdroj: | Journal of Information & Optimization Sciences. 44:113-126 |
| ISSN: | 2169-0103 0252-2667 |
| DOI: | 10.47974/jios-1301 |
| Popis: | In recent technologies, object detection is considered as an effective tool for diagnosing the anonymous activities of a particular location. We can recognize the specific object from images and videos. Therefore, we can obtain essential information for developing a highly secure framework. The ODEF technique is developed for enhanced object detection and classification process. By utilizing the proposed technique, the anonymous activities in a specific region can be detected through the video. This technique detected the objects with bounding boxes; therefore, malicious activities can be shown in distinct visual. Then, the utilization of DRCNN technique provides better platform to classify the object. |
| Databáze: | OpenAIRE |
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