Open Access
Research Article
An effective framework for detecting the object from the video sequences by utilizing deep learning with hybrid technology
*Ravi Prakash ChaturvediCorresponding authorravi.chaturvedi1@sharda.ac.inUniversity School of Information, Communication and Technology Guru Gobind Singh, Indraprastha University Delhi IndiaDepartment of Computer Science and Applications Sharda School of Engineering & TechnologyGreater Noida, Uttar Pradesh, 201310, IndiaView full profile → , Udayan Ghoseudayan@ipu.ac.inUniversity School of Information, Communication and Technology Guru Gobind Singh, Indraprastha University Delhi IndiaSector – 16C, Dwarka, New Delhi, 110078, IndiaView full profile →
* Corresponding author · click or hover a name for details
- Published Online:
- 31 Dec 2022
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JIOS-1301
- Pages:
- 113–126
Abstract
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.
Keywords
Subject Classifications
68Q3268T07
References
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