Abstract
Recent emerging trends for automatic behavior analysis and understanding from infrastructure video are reviewed. Research has shifted from high-resolution estimation of vehicle state and instead, pushed machine learning approaches to extract meaningful patterns in aggregates in an unsupervised fashion. These patterns represent priors on observable motion, which can be utilized to describe a scene, answer behavior questions such as where is a vehicle going, how many vehicles are performing the same action, and to detect an abnormal event. The review focuses on two main methods for scene description, trajectory clustering and topic modeling. Example applications that utilize the behavioral modeling techniques are also presented. In addition, the most popular public datasets for behavioral analysis are presented. Discussion and comment on future directions in the field are also provided.
Highlights
Modern governments invest heavily in the installation and maintenance of road networks due to safety concerns and their vital role in economic health
Cameras have become an integral part of many transportation management centers (TMCs) because they give traffic operations engineers a way to view what is happening in the field
This review focuses on two particular methods for automatic description: (1) trajectory clustering and (2) topic modeling
Summary
Modern governments invest heavily in the installation and maintenance of road networks due to safety concerns and their vital role in economic health. Cameras have become an integral part of many transportation management centers (TMCs) because they give traffic operations engineers a way to view what is happening in the field. Most of these cameras are only in use sporadically and rarely monitored actively. Monitors are often set to cycle through the cameras until an operator notices an incident. These cameras offer a rich data stream for understanding the roadway and is a virtually untapped operational resource. Researchers have long recognized the potential of camera monitoring systems. Robust detection and tracking systems for vehicles have been published, but they still suffer
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