π
π
Old Age
Online Pedestrian Group Walking Event Detection Using Spectral Analysis of Motion Similarity Graph
September 03, 2019 Β· Declared Dead Β· π Advanced Video and Signal Based Surveillance
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Vahid Bastani, Damian Campo, Lucio Marcenaro, Carlo S. Regazzoni
arXiv ID
1909.01258
Category
cs.CV: Computer Vision
Cross-listed
eess.IV
Citations
13
Venue
Advanced Video and Signal Based Surveillance
Last Checked
4 months ago
Abstract
A method for online identification of group of moving objects in the video is proposed in this paper. This method at each frame identifies group of tracked objects with similar local instantaneous motion pattern using spectral clustering on motion similarity graph. Then, the output of the algorithm is used to detect the event of more than two object moving together as required by PETS2015 challenge. The performance of the algorithm is evaluated on the PETS2015 dataset.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Computer Vision
π
π
Old Age
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
π
π
Old Age
SSD: Single Shot MultiBox Detector
π
π
Old Age
Squeeze-and-Excitation Networks
π
π
Old Age
Fast R-CNN
π
π
Old Age
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted