This paper suggests multiple vehicles detection by quad-tree segmentation and tracking method using scale invariant feature transform to improve the performance ...

This paper suggests multiple vehicles detection by quad-tree segmentation and tracking method using scale invariant feature transform to improve the ...

This paper suggests multiple vehicles detection by quad-tree segmentation and tracking method using scale invariant feature transform to improve the performance ...

Oct 22, 2024 · A practical vehicle tracking system is required to update the appearance change of moving vehicles in real-time. The system with fixed-size ...

Sep 16, 2019 · In this paper, we propose a deep-learning framework for vehicle detection and tracking from UAV videos for monitoring traffic flow in complex road structures.

There are different types of local visual features among those we expected to use. Scalable Invariant Features Transform feature for the detection and tracking ...

Vehicle detection is performed based on Scale Invariant Feature Transform (SIFT) feature matching. With SIFT feature detection and matching, the geometrical ...

Vehicle detection is performed based on Scale Invariant Feature Transform (SIFT) feature matching. With SIFT feature detection and matching, the geometrical ...

... vehicle. This paper starts by introducing an overview of vehicle tracking in vision based aspect and scale invariant feature transform method in Section 2.

A real-time CNN-based Hybrid Vehicle Detection Network (HVD-Net) is designed for vehicle detection. The HVD-Net utilizes multi-level and multi-scale features.