Object classification is a crucial yet challenging vision ability to perfect The fundamental
objective is to educate computers to understand visuals the same way humans do. Due to …

Understanding human actions is crucial for enabling machines to interpret human behavior,
with applications spanning video-based surveillance applications, sports monitoring, and …

Automatic identification of human interaction is a challenging task especially in dynamic
environments with cluttered backgrounds from video sequences. Advancements in computer …

Multi-object recognition resolves the need to instantaneously identify numerous things,
which is essential for develo** an in-depth understanding of the world of vision. Variations …

With advances in machine vision systems (eg, artificial eye, unmanned aerial vehicles,
surveillance monitoring) scene semantic recognition (SSR) technology has attracted much …

Human body action recognition has drawn a good deal of interest in the community of
computer vision, owing to its wide range of applications. Recently, the video/image …

Remote physical activity recognition is gaining popularity as it provides improved healthcare
monitoring services without hampering the daily lifestyle of individuals. For smart healthcare …

The rise of computer vision technology has seen development of advanced algorithms that
can accurately detect human activities from RGB videos taken by drone cameras. One major …

Human activity recognition using MotionNode sensors is getting prominence effect in our
daily life logs. Providing accurate information on human's activities and behaviors is one of …

With the advancement of technology, intelligence capabilities of machines are growing day
by day. Researchers are committed to equip the machines with the capability of thinking …