This paper deals with dense optical flow estimation from the perspective of the trade-off
between quality of the estimated flow and computational cost which is required by real-world …

Abstract Field Programmable Gate Array (FPGA) is an efficient reconfigurable integrated
circuit platform and has become a core signal processing microchip device of digital systems …

Crowd anomaly detection is a key research area in vision-based surveillance. Most of the
crowd anomaly detection algorithms are either too slow, bulky, or power-hungry to be …

Systems for object detection and tracking are becoming increasingly important in practical
applications today. Many research and development groups are interested in improving the …

The information about optical flow, ie, the movement of pixels between two consecutive
images from a video sequence, is used in many vision systems, both classical and those …

Most of the 3D reconstruction requirements of microscopic scenes exist in industrial
detection, and this scene requires real-time object reconstruction and can get object surface …

Standardized benchmarks in Computer Vision have greatly contributed to the advance of
approaches to many problems in the field. If we want to enhance the visibility of event-driven …

Recently, accelerator architectures of deep neural networks (DNNs) have been designed to
accelerate computer vision tasks, gaining the advantages of both accuracy and speed …

Optical flow is a highly efficient visual tracking algorithm, which is commonly used to
estimate pixel movement between two consecutive images in a video sequence. However …

This paper presents a method for image motion estimation for event-based sensors.
Accurate and fast image flow estimation still challenges Computer Vision. A new paradigm …