WalkDataset

Abnormal event detection and localization in surveillance videos

The main objective of this system is to detect and localize unusual objects, suspicious behaviors or irregular events in a scene. The proposed method should detects anomalous regions in a video and it is fast enough for real-time applications. It codes video as a compact set of spatio-temporal video volumes while considering uncertainties in the grouping process and their spatio-temporal arrangements using a probabilistic framework to calculate the likelihood of the regions in the video.

Links

  • Anomaly Detection and Localization in Crowded Scenes
  • Advances in Human Action Recognition: A Survey
  • A survey of vision-based methods for action representation, segmentation and recognition
  • A survey on vision-based human action recognition
  • Human Action Recognition: INRIA Summer School PPT
  • A Review of Human Activity Recognition Methods

Reference Videos

 

Posted in Computer Vision, Projects.