The delay to obtain analysis results is an important metric in video analytics. Previous work
has focused on reducing frame transmission and inference delay to optimize total delay …

Upgrading ordinary streetlights to smart streetlights to help monitor traffic flow is a low-cost
and pragmatic option for cities. Fine-grained classification of vehicles in the sight of smart …

The growing network of highway video surveillance cameras generates an immense amount
of data that proves tedious for manual analysis. Automated real-time analysis of such data …

Is video congestion detection a visual classification problem? Most studies say yes. They
classify road states into 1–3 congestion levels to determine whether congestion occurs …

Video object detection is challenging and essential in practical applications, such as
surveillance cameras for traffic control and public security. Unlike the video in natural …

Traditional camera sensors rely on human observation. However, in complex scenes,
people often experience fatigue when observing objects of various sizes. Moreover, human …

Nowadays, we are unaware of the safety of driving on roads. Accident cases have been
increasing day by day. For a long period of time, accidents have been the main cause of …

The manual review of raw surveillance video is a time consuming task which can be
optimized by using a Video Synopsis (VS) algorithm. The aim of such approaches is to …

Traffic congestion is prevalent in many major and medium-sized cities throughout different
countries in contemporary society. In traffic images, various multi-sized vehicles are tightly …

Detection of traffic anomalies involves detecting stalled or crashed vehicles. This vehicle
becomes stationary and hence becomes a part of the background. The performance of …