OBJECT DETECTION MECHANISM USING DEEP CNN MODEL - Ravi Kumar Kandagatla
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Object detection and tracking are important roles in computer vision algorithms. Detecting and tracking objects have many challenges like detecting objects efficiently in both indoor and outdoor circumstances and avoiding occlusion. Many traditional methods are not good in these circumstances and have good efficiency. Due to the constant increase in research in deep learning methods and popularity due to it ... Full description
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Description
Object detection and tracking are important roles in computer vision algorithms. Detecting and tracking objects have many challenges like detecting objects efficiently in both indoor and outdoor circumstances and avoiding occlusion. Many traditional methods are not good in these circumstances and have good efficiency. Due to the constant increase in research in deep learning methods and popularity due to its mastery in terms of accuracy we choose deep learning over traditional machine learning. Object detection is a key topic in image processing and is used for detecting identifying and locating objects by drawing the bounding boxes to those objects. Object detection has various applications in various fields like security medical field and defense.
More Information
| Author | Ravi Kumar Kandagatla |
|---|---|
| Publisher | LAP LAMBERT Academic Publishing |
| Release year | 2023 |
| Cover type | Softcover |
| EAN | 9786206164319 |