As various algorithms and models spring up, object detection‐based deep learning for
image analysis has become an established technology in the field of computer vision …

Nowadays, with the advent of Unmanned Aerial Vehicles (UAV), drones equipped with
cameras have been fast deployed to a wide range of applications. Consequently, automatic …

Abstract State-of-the-art (SoTA) detection-based tracking methods mostly accomplish the
detection and the identification feature learning tasks separately. Only a few efforts include …

Object detection has been vigorously investigated for years but fast accurate detection for
real-world scenes remains a very challenging problem. Overcoming drawbacks of single …

Occlusion is one of the most significant challenges encountered by object detectors and
trackers. While both object detection and tracking has received a lot of attention in the past …

The use of camera-equipped Unmanned Aerial Vehicles (UAVs, or “drones”) for a wide
range of aerial video capturing applications, including media production, surveillance …

Recent outstanding results of supervised object detection in competitions and challenges
are often associated with specific metrics and datasets. The evaluation of such methods …

We develop a vehicle detection and tracking scheme based on the concept of motion trails
for fisheye traffic monitoring videos. The motion trail combines the moving object traces in …

It is quite challenging to detect objects, especially, small objects, in complex scenes. To
solve this problem, we propose a novel module named as adaptive convolution block (ACB) …