Aug 25, 2018 · The DCCNN developed in this research enables online identification of suspicious crowd behaviors based on analyzing the live-feed images and ...

The DCCNN developed in this research enables online identification of suspicious crowd behaviors based on analyzing the live-feed images and their STFD ...

This research has been investigating an automatic and online crowd anomaly detection model by exploring a novel compound image descriptor generated from ...

The DCCNN developed in this research enables online identification of suspicious crowd behaviors based on analyzing the live-feed images and their STFD ...

A dual-channel convolutional neural network (DCCNN) has been set up for efficiently processing scene-related and motion-related crowd information inherited from ...

Fingerprint. Dive into the research topics of 'Dual-channel CNN for efficient abnormal behavior identification through crowd feature engineering'.

A dual-channel convolutional neural network (DCCNN) has been set up for efficiently processing scene-related and motion-related crowd information.

... through studying the pixel-value-based crowd trajectories and motion features. Motion features in a video can be divided into global features and local features ...

Further, we present the crowd behavior analysis model which uses motion map and energy level distribution based features to detect the abnormal crowd behavior.

... Dual-channel cnn for efficient abnormal behavior identification through crowd feature engineering. Mach. Vis. Appl. (2018). https://doi.org/10. 1007/s00138 ...