The nascent applicability of multi-camera tracking (MCT) in numerous real-world
applications makes it a significant computer vision problem. While visual tracking of objects …

Multi-object tracking (MOT) has been notoriously difficult to evaluate. Previous metrics
overemphasize the importance of either detection or association. To address this, we …

Movement dataset reviews exist but are limited in coverage, both in terms of size and
research discipline. While topic-specific reviews clearly have their merit, it is critical to have a …

The use of visual sensors for monitoring people in their living environments is critical in
processing more accurate health measurements, but their use is undermined by the issue of …

Tracking multiple persons is a challenging task especially when persons move in groups
and occlude one another. Existing research have investigated the problems of group …

Videos are one of the prime and important sources of information. They can be availed in
huge numbers. Whenever something is to be searched for in the video, the whole video clip …

It is the texture for materials development and the technology selected that determines the
realism of the finished 3D model. An in-depth literature review is presented on approaches …

We present a deep person re-identification approach that combines semantically selective,
deep data augmentation with clusteringbased network compression to generate high …

In unsupervised domain adaptation (UDA), learning of domain invariant representation is
easily dominated by labeled source domain data, while the data distribution characteristic of …

Many technological applications have been developed and implemented in the last two
years to fight the COVID-19 pandemic via social distancing. Despite its importance in …