Systems must be capable of detecting and tracking autonomous vehicles for intelligent
management and control of transportation. Even though several methods are used to create …

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

In computer vision and image processing, vehicle detection and tracking in complicated
aerial images have become important subjects. The need for automated systems that can …

This paper presents an advanced approach to Human Pose Estimation (HPE) and Semantic
Event Classification (SEC), emphasizing the need for sophisticated human skeleton models …

In computer vision, accurate vehicle recognition and tracking is a challenging research topic.
Manual surveillance systems are cumbersome, labor-intensive, and inefficient in today's …

The vehicle detection and counting project aims to develop a robust and efficient system to
automatically detect and count vehicles in a given video stream using TensorFlow, a popular …

In today's urban landscapes, efficient traffic management is crucial for ensuring smooth
vehicular movement and reducing congestion. Providentially, advancements in Deep …

In the context of smart cities, real-time vehicle speed detection is a research area that can be
examined under the categories of traditional and hybrid methods. Traditional methods …