The current concept of smart cities influences urban planners and researchers to provide
modern, secured and sustainable infrastructure and gives a decent quality of life to its …

This paper reviews the use of outlier detection approaches in urban traffic analysis. We
divide existing solutions into two main categories: flow outlier detection and trajectory outlier …

Due to the advancement of camera hardware and machine learning techniques, video
object tracking for surveillance has received noticeable attention from the computer vision …

A passenger is overcharged by the taxi driver is one common type of fraudulent trip, and it
brings negative impacts to modern cities. Most existing fraudulent trip detection works rely …

Anomalous taxi trajectories are those chosen by a small number of drivers that are different
from the regular choices of other drivers. These anomalous driving trajectories provide us an …

In this paper, we study anomalous trajectory detection, which aims to extract abnormal
movements of vehicles on the roads. This important problem, which facilitates understanding …

Pedestrian path prediction is a very challenging problem because scenes are often crowded
or contain obstacles. Existing state-of-the-art long short-term memory (LSTM)-based …

Traffic congestion is a serious challenge in urban areas. So, to address this challenge, the
intelligent traffic management system (ITMS) is used to manage traffic on road networks …

Traditional trajectory anomaly detection aims to find abnormal trajectory points or sequences
using data mining techniques. As a comparison, we focus on the evaluation of the …

In this paper, a new method for detecting abnormal events in public surveillance systems is
proposed. In the first step of the proposed method, candidate regions are extracted, and the …