No image is infinitely sharp. For 150 years, it has been known that no matter how ingeniously you build a microscope or a ...

When objects are detected correctly and bounding boxes are at correct distance, the IOU overlap value ... hypothesis that the multi-camera–based fusion algorithm improved the overall robustness of the ...

The basic theory of YOLO series object detection algorithms is discussed, the dangerous driving behavior dataset is collected and produced, and then the YOLOv7 network is introduced in detail, the ...

However, motivated by the fact that current object detection algorithms for unimodal aerial remote sensing images fail to achieve around-the-clock object detection. To tackle this, we propose an ...

In Sink process, people object convert to person objects. and every person object are send to Tracker. Tracker receive person object and produces object identities Using SORT(simple online and ...

This process however still requires the computationally expensive Euclidean distance calculation to a subset of the data points in the codebook or training database. The learning stage for detection .

In the KITTI benchmark, an algorithm is considered a success ... it could dramatically mis-estimate the distance to certain objects, or even fail to recognize an object at all.