Understanding Crowd Flow Movements Using Active-Langevin Model
Crowd flow describes the elementary group behavior of crowds. Understanding the dynamics behind these movements can help to identify various abnormalities in crowds. However, developing a crowd model describing these flows is a challenging task. In this paper, a physics-based model is proposed to describe the movements in dense crowds. The crowd model is based on active Langevin equation where the motion points are assumed to be similar to active colloidal particles in fluids. The model is further augmented with computer-vision techniques to segment both linear and non-linear motion flows in a dense crowd. The evaluation of the active Langevin equation-based crowd segmentation has been done on publicly available crowd videos and on our own videos. The proposed method is able to segment the flow with lesser optical flow error and better accuracy in comparison to existing state-of-the-art methods.
Code (0)
등록된 구현이 없습니다.
Tasks
modelOptical Flow EstimationSimilar Papers 제목 키워드 기반
Estimation of Linear Motion in Dense Crowd Videos using Langevin Model
Crowd gatherings at social and cultural events are increasing in leaps and bounds with the increase in population. Surveillance through computer vision and expert decision making systems can help to understand the crowd …
Decision MakingOptical Flow EstimationLCrowdV: Generating Labeled Videos for Simulation-based Crowd Behavior Learning
We present a novel procedural framework to generate an arbitrary number of labeled crowd videos (LCrowdV). The resulting crowd video datasets are used to design accurate algorithms or training models for crowded scene un…
General ClassificationPedestrian DetectionScene UnderstandingView Birdification in the Crowd: Ground-Plane Localization from Perceived Movements
We introduce view birdification, the problem of recovering ground-plane movements of people in a crowd from an ego-centric video captured from an observer (e.g., a person or a vehicle) also moving in the crowd. Recovered…
Noisy circumnutations facilitate self-organized shade avoidance in sunflowers
Circumnutations are widespread in plants and typically associated with exploratory movements, however a quantitative understanding of their role remains elusive. In this study we report, for the first time, the role of n…
NavigateVideo-based Bottleneck Detection utilizing Lagrangian Dynamics in Crowded Scenes
Avoiding bottleneck situations in crowds is critical for the safety and comfort of people at large events or in public transportation. Based on the work of Lagrangian motion analysis we propose a novel video-based bottle…
Optical Flow Estimation