The past decade has witnessed a rapid proliferation of video cameras in all walks of life and
has resulted in a tremendous explosion of video content. Several applications such as …

Robotic mapping provides spatial information for autonomous agents. Depending on the
tasks they seek to enable, the maps created range from simple 2D representations of the …

This paper provides a comprehensive survey for activity recognition in video surveillance. It
starts with a description of simple and complex human activity, and various applications. The …

Society is rapidly accepting the use of video cameras in many new and varied locations, but
effective methods to utilize and manage the massive resulting amounts of visual data are …

This paper presents a survey of trajectory-based activity analysis for visual surveillance. It
describes techniques that use trajectory data to define a general set of activities that are …

Analysis of motion patterns is an effective approach for anomaly detection and behavior
prediction. Current approaches for the analysis of motion patterns depend on known scenes …

In this paper, we proposed a hierarchical clustering framework to classify vehicle motion
trajectories in real traffic video based on their pairwise similarities. First raw trajectories are …

Kalman filter has been successfully applied to tracking moving objects in real-time
situations. However, the filter cannot take into account the existing prior knowledge to …

Visual surveillance produces large amounts of video data. Effective indexing and retrieval
from surveillance video databases are very important. Although there are many ways to …

This paper presents two different types of visual activity analysis modules based on vehicle
tracking. The highway monitoring module accurately classifies vehicles into eight different …