Nowadays, Human Activity Recognition (HAR) is being widely used in a variety of domains,
and vision and sensor-based data enable cutting-edge technologies to detect, recognize …

Human activity recognition is essential in many domains, including the medical and smart
home sectors. Using deep learning, we conduct a comprehensive survey of current state …

Malaria is one of the epidemics that can cause human death. Accurate and rapid diagnosis
of malaria is important for treatment. Due to the limited number of data and human factors …

Rapid growth in technology has changed the way humans live. Ongoing development in the
automobile industry is creating intelligent vehicles and this mode of transportation will assist …

While background subtraction techniques have been widely applied to detect moving
objects in a video stream captured by a static camera, detecting moving objects using a …

This paper presents a semi-supervised faster region-based convolutional neural network
(SF-RCNN) approach to detect persons and to classify the load carried by them in video …

As the light of the belt conveyor changes drastically and unevenly, it will cause the
longitudinal tear detection rate of the traditional methods drop sharply. To improve the …

Pedestrian detection is an important aspect of the development of intelligent vehicles. To
address problems in which traditional pedestrian detection is susceptible to environmental …

In the computer vision applications such as security surveillance and robotics, pedestrian
identification shows much attention in the last decade. This is usually achieved by human …

Detecting a moving pedestrian is still a challenging task in a smart surveillance system due
to dynamic scenes. Locating and detecting the moving pedestrian simultaneously influences …