A system and a method for predicting crowd attributes

Abstract

Disclosed is a system for predicting crowd attributes, comprising: a feature extracting device obtaining a video with crowd scenes and extracting appearances features and motion features from the obtained video, wherein the motion features are scene-independent and indicate motion properties of crowd of the video; and a prediction device being electronically communicated with the feature extracting device and predicting attributes of the crowd in the video based on the extracted motion features and the extracted appearances.

Description

technical field [0001] The present disclosure relates to a system and method for predicting crowd attributes. Background technique [0002] Over the past decade, the field of crowd analysis has evolved dramatically from crowded scene understanding to include crowd behavior analysis, crowd tracking, and crowd segmentation. This progress has been largely triggered by the creation of population databases and novel robust features and models for dissecting the inherent properties of populations. The vast majority of the above studies on crowd understanding are scene-specific, i.e. crowd models are learned from specific scenes and thus generalize poorly in describing other scenes. Attributes are particularly effective at characterizing aspects of common properties across scenarios. [0003] In recent years, research on attribute-based representations of objects, faces, actions, and scenes has attracted considerable attention as an alternative or complement to class representati...

AI Technical Summary

Problems solved by technology

But the number of attributes involved in these works is limited (only four or less), and the database is also small in terms of scene diversity

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