How to handling occlusion ploblem of vehicle detection in intersection road with surveillance camera?
Best insight from top research papers
To address occlusion issues in vehicle detection at intersection roads using surveillance cameras, a multi-scale hybrid attention mechanism can be employed . Additionally, integrating a You Only Look Once (YOLO)-based algorithm for vehicle detection and tracking, along with a Kalman filter to estimate vehicle speed and location under occlusion, proves effective . Furthermore, incorporating a dense vehicle detection network with a deformable channel-wise column transformer (DCCT) and an asymmetric focal loss (AF loss) enhances the accuracy of detecting densely located vehicles, even under severe overlapping conditions . Lastly, utilizing a part-aware refinement network that combines multi-scale training and component confidence generation strategies can significantly improve vehicle detection efficiency by considering occlusion factors and object scale .
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| Papers (5) | Insight |
|---|---|
| The paper proposes a method using a multi-scale hybrid attention mechanism for occluded vehicle detection, enhancing accuracy by leveraging channel/space attention and multi-scale features. | |
| The proposed Part-Aware Refinement Network in the paper handles occlusion in vehicle detection by using visible part confidence to correct overall detection confidence, improving detection accuracy in intersection surveillance. | |
2 Citations | The paper proposes a dense vehicle detection network using DCCT and AF loss to address occlusion issues, improving accuracy in detecting densely located vehicles in real-time. |
2 Citations | The paper proposes a dense vehicle detection network using DCCT and AF loss to handle occlusion in surveillance images, improving accuracy in detecting densely located vehicles in real time. |
1 Citations | A Kalman filter approach is utilized for vehicle speed and location estimation under occlusion conditions in intersection road surveillance camera-based traffic behavior recognition. |
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