| Autor: |
Sachin Kumar, Pushpendra Thakur, R. Arthi, Jai Ahuja, Tanay Sharma |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Advances in Systems, Control and Automations ISBN: 9789811586842 |
| DOI: |
10.1007/978-981-15-8685-9_10 |
| Popis: |
Object detection could be a technology associated with computer vision and image process that deals with crime squad work instances of semantics objects of a specific category in digital pictures and videos. Applications of object detection are in various fields of computer vision, together with image retrieval. In the existing work, SVM model has been applied to sight the article in CCTV videos, unlike many other classification or detection problems there is a strong real-time requirement for detecting. Hence, a trade-off between high accuracy and speed is inescapable. The main parameters that influence the performance are the length of the feature vector along with the algorithmic programme, and also, it is the best in two classifications. The proposed system introduces You Only Look Once (YOLO V2). YOLO V2 is highly efficient and quicker than the SVM. The simulated results set the threshold level to any confidence when compared to SVM. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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