Using dynamic surveillance cameras for security has significantly increased the privacy
concerns for captured individuals. Malicious users may misuse these videos by performing …

Molten pool shape can retrieve information on thermal gradients and solidification rates
which provide substantial process signatures on cracking and weld quality. However …

Video-based human activity recognition (HAR) is an active and challenging research area in
the field of computer vision. The presence of camera motion, irregular motion of humans …

Currently, using semantic segmentation networks to distinguish dynamic and static key
points has become a mainstream designing method for semantic SLAM systems. However …

DNN for fish tracking and segmentation based on high-quality labels is expensive.
Alternative unsupervised approaches rely on spatial and temporal variations that naturally …

In order to effectively improve the recognition rate of human action in dance video image,
shorten the recognition time of human action, and ensure the recognition effect of dance …

Tracking fish movements and sizes of fish is crucial to understanding their ecology and
behaviour. Knowing where fish migrate, how they interact with their environment, and how …

Recognition of human activity based on convolutional neural network (CNN) has received
the interest of researchers in recent years due to its significant improvement in accuracy. A …

The surveillance videos taken from dynamic cam-eras are susceptible to multiple security
threats like replay attacks, man-in-the-middle attacks, pixel correlation attacks etc. Using …

Aiming at the difficulty of standardizing the action of basketball shooting training, a new
method of standardizing the action of basketball shooting training is proposed based on …