Using Spatiotemporal Blocks to Reduce the Uncertainty in Detecting and Tracking Moving Objects in Video

International Journal of Intelligent Systems Technologies and Applications - Switzerland
doi 10.1504/ijista.2006.009914
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Inderscience Publishers

Related search

Study of Detection and Tracking Algorithms of Moving Objects in Video Sequences From Video Surveillance Cameras

2019English

A Spatiotemporal Algebra in Hadoop for Moving Objects

Geo-Spatial Information Science
DevelopmentPlanningComputers in Earth SciencesGeography
2018English

Multiple Objects Tracking in Surveillance Video Using Color and Hu Moments

Signal & Image Processing : An International Journal
2016English

Tracking Moving Objects in Road Traffic Sequences

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2012English

Detecting Carried Objects in Short Video Sequences

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2008English

Continual Neighborhood Tracking for Moving Objects Using Adaptive Distances

English

Bayesian Visual Surveillance: A Model for Detecting and Tracking a Variable Number of Moving Objects

2011English

Querying Moving Objects With Uncertainty in Spatio-Temporal Databases

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2011English

Minimization of Storage on Moving Objects in Video Surveillance

International Journal for Research in Applied Science and Engineering Technology
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy