Deep learning methods have achieved the state-of-the-art performance of object detection
and tracking in natural images, such as keypoint-based detectors and appearance/motion …

Moving object detection is the foundation of research in many computer vision fields. In
recent decades, a number of detection methods have been proposed. Relevant surveys …

The speedy development of Advanced Driver Assistance System (ADAS) has acquired great
awareness in modern years. ADAS has enhanced safety and decreases the threat of …

Moving object detection in remote sensing image sequences has been widely used in
military and civilian fields. However, the complex background of remote sensing images and …

The strong temporal consistency of surveillance video enables compelling compression
performance with traditional methods, but downstream vision applications operate on …

Neuromorphic" event" cameras, designed to mimic the human vision system with
asynchronous sensing, unlock a new realm of high-speed and high-dynamic-range …

The aim of this study is to prepare children and adults for real magnetic resonance imaging
(MRI) procedures using specialized training application. The software, designed to track …

Moving object detection in video sequences is a challenging task and contributes to
missions like pedestrian detection. In this paper, we propose a discrete Fourier transform …

抄録 This paper presents a valid algorithm for a fused sensor, which consists of a passive
infrared (PIR) sensor and thermal-image-based sensor, to achieve both energy efficient and …

An unattended child can be subjected to a sudden fall from a terrace. The paper proposes a
computer vision-based approach for detecting kids playing on the terrace. This system is …