Representing Activities With Layers of Velocity Statistics for Multiple Human Action Recognition in Surveillance Applications

doi 10.1117/12.2042588
Full Text
Abstract

Available in full text

Date
Authors
Publisher

SPIE

Related search

Human Action Recognition From Body-Part Directional Velocity Using Hidden Markov Models

2017English

Contextual Max Pooling for Human Action Recognition

IEICE Transactions on Information and Systems
Electronic EngineeringPattern RecognitionHardwareComputer VisionElectricalArchitectureArtificial IntelligenceSoftware
2015English

A Comparison of the YCBCR Color Space With Gray Scale for Face Recognition for Surveillance Applications

ADCAIJ: ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL
2018English

Handcrafted vs. Learned Representations for Human Action Recognition

Image and Vision Computing
ElectricalComputer VisionSignal ProcessingPattern RecognitionElectronic Engineering
2016English

Exploring Object Segmentation Methods in Visual Surveillance for Human Activity Recognition

2016English

View-Invariant Feature Representation for Action Recognition Under Multiple Views

International Journal of Intelligent Engineering and Systems
EngineeringComputer Science
2019English

Motion Information Combination for Fast Human Action Recognition

2007English

Real-Time Exact Graph Matching With Application in Human Action Recognition

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2012English

Discovery and Recognition of Motion Primitives in Human Activities

PLoS ONE
Multidisciplinary
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy