TENTACLE: Multi-Camera Immersive Surveillance System

This final technical report describes the results of collaborative efforts by Primordial, intuVision, and All Hazards Management in conducting a phase I Small Business Innovation Research (SBIR) effort, titled AF103-032: Multicamera real-time Feature Recognition, Extraction &Tagging Automation (...

Full description

Saved in:
Bibliographic Details
Main Authors: Benjamin, Justin W, Post, Benjamin L, Estes, Kyle K, Milbert, Randy L
Format: Report
Language:English
Subjects:
ANIMATED GRAPHICAL INTERFACE
AUTOMATED IDENTIFICATION AND TAGGING
CAMERAS
DATA BASES
EVENT
FEATURE EXTRACTION
FRAMEWORK
GRAPHICAL USER INTERFACE
IDENTIFICATION
METADATA
MULTI-CAMERA MULTI-SENSOR FUSION ALGORITHMS
PE65505F
PEOPLE AND VEHICLE TRACKING
Photography
QUERY
REAL-TIME VIDEO SURVEILLANCE
SBIR REPORTS
SBIR TOPIC AF103-032 PHASE 1
SBIR(SMALL BUSINESS INNOVATION RESEARCH)
SENSOR FUSION
SURVEILLANCE
TRACKING
VIDEO SIGNALS
WUAFRL3005CV09
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This final technical report describes the results of collaborative efforts by Primordial, intuVision, and All Hazards Management in conducting a phase I Small Business Innovation Research (SBIR) effort, titled AF103-032: Multicamera real-time Feature Recognition, Extraction &Tagging Automation (McFRETA), and authored by the U.S. Air Force Research Laboratory (AFRL). The goal of the effort was to design, develop, and demonstrate a scalable framework and software application to enable tracking and feature extraction of uncooperative entities capture in multiple streaming sources and enabling near real-time forensic analysis of the extracted data. During the effort, Primordial worked with intuVision to identify key features to extract from live video feeds to include geographic location, entity type, and dominate colors of the entity. Primordial then built a graphical user interface to display avatars representing real world entities in a three dimensional virtual reality using the WorldWind SDK. To prove feasibility of the system, Primordial conducted 13 internal demonstrations to validate the results of the system.