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

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 …

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 …

Advanced traffic monitoring systems face major vehicle detection and classification
challenges. Conventional methods need significant computational resources and struggle to …

Indoor localization is a hot topic due to the rising demand for location-based services and
smartphone use. Actions in indoor spaces provide valuable information that systems can …

Activity recognition from multiple sensors is a promising research area with various
applications for remote human activity tracking in surveillance systems. Human activity …

Maintaining plant health, which has a direct impact on food security and economic stability,
requires early detection of plant diseases. Our method overcomes this difficulty by …

Vehicle identification and classification are essential for Intelligent Transportation Systems,
although current approaches may face challenges due to data collection discrepancies. This …

Vehicle detection is integral to advanced surveillance and traffic monitoring systems, which
traditionally rely on cameras positioned on bridges or roadsides. Aerial imagery, however …

Efficient vehicle detection and tracking are crucial for modern traffic management, yet
traditional systems are limited by fixed infrastructure. Aerial imagery, offering extensive …