Recently, a number of classification techniques have been introduced. However, processing
large dataset in a reasonable time has become a major challenge. This made classification …

One of the commonly-used feature extraction algorithms in computer vision is the histogram
of oriented gradients. Extracting the features from an image using this algorithm requires a …

New information and communication technologies have contributed to the development of
the smart city concept. On a physical level, this paradigm is characterized by deploying a …

The FPT2019 FPGA Design Competition is a competition aimed at recommending
innovations in utilizing FPGAs to realize level 5 autonomous driving vehicles. We have …

The detection of obstacles of intelligent driving vehicles becomes a primary condition to
ensure safe driving. LiDAR and camera are the main sensors for intelligent vehicles to …

Today, Computer Vision algorithms play a vital role in almost every domain of our day-to-day
life. This powerful technology has aided in the development of answers to a wide range of …

This paper presents a new vision-based method for real-time assessment of upper-body
postures of a subject who is sitting in front of a desk studying or operating a computer. Unlike …

Pedestrian detection (PD) systems capable of locating pedestrians over large distances and
locating them faster are needed in Pedestrian Collision Prediction (PCP) systems to …

Person detection is a branch of object detection. It refers to positioning people in the image,
finding the location and range of the person, and has a wide range of applications in fields …

为了研究现有车辆目标检测算法的检测精度与检测速度相矛盾的问题, 提出了一种小型化的改进
YOLOv3 深度卷积网络的实时车辆检测及跟踪算法. 采用构建卷积层数少的网络架构以及进行多 …