i-LIDS i magery L ibrary for I ntelligent D etection S ystems Luke Sands.

Slides:



Advertisements
Similar presentations
COMPREHENSIVE APPROACH TO INFORMATION SECURITY IN ADVANCED COMPANIES.
Advertisements

ETISEO Project Corpus data - Video sequences contents - Silogic provider.
Kien A. Hua Division of Computer Science University of Central Florida.
The Challenges and Rewards of Open Source Video Digitization Identification and Discussion of Proper Methods for Videotape Preservation when no Standards.
Teaching and Learning with Technology to edit Master title style  Allyn and Bacon 2002 Teaching and Learning with Technology to edit Master title style.
Copyright : Hi Tech Criminal Justice, Raymond E. Foster Police Technology Police Technology Chapter Fifteen Police Technology Tracking and Surveillance.
Scientific Development Branch Dataset Production and Performance Evaluation for Event Detection and Tracking Paul Hosmer Detection and Vision Systems Group.
Systematic Review Data Repository (SRDR™) The Systematic Review Data Repository (SRDR™) was developed by the Tufts Evidence-based Practice Center (EPC),
The Academy of Motion Picture Arts & Sciences Building an Interim Digital Preservation System Nancy Silver Digital Archival Program Manager Science and.
Information Retrieval in Practice
ADVISE: Advanced Digital Video Information Segmentation Engine
Spring 2008MMDB - Introduction1 Introduction: Multimedia Databases.
Supervised by Prof. LYU, Rung Tsong Michael Department of Computer Science & Engineering The Chinese University of Hong Kong Prepared by: Chan Pik Wah,
Presentation Outline  Project Aims  Introduction of Digital Video Library  Introduction of Our Work  Considerations and Approach  Design and Implementation.
Vigilant Real-time storage and intelligent retrieval of visual surveillance data Dr Graeme A. Jones.
Department of Computer Science and Engineering, CUHK 1 Final Year Project 2003/2004 LYU0302 PVCAIS – Personal Video Conference Archives Indexing System.
Using Multimedia Images for Teaching, Learning and Training in Chemistry, On Site and At A Distance Tony Rest University of Southampton.
0 - 1 © 2007 Texas Instruments Inc, Content developed in partnership with Tel-Aviv University From MATLAB ® and Simulink ® to Real Time with TI DSPs Video.
Image Subtraction for Real Time Moving Object Extraction Shahbe Mat Desa, Qussay A. Salih, CGIV’04.
Digital Surveillance. Danish Software Company specialized in development of security solutions. Started in year 2000 with HQ in Copenhagen. All solutions.
Real Time Abnormal Motion Detection in Surveillance Video Nahum Kiryati Tammy Riklin Raviv Yan Ivanchenko Shay Rochel Vision and Image Analysis Laboratory.
Chapter 14 Recording and Editing Sound. Getting Started FAQs: − How does audio capability enhance my PC? − How does your PC record, store, and play digital.
Overview Presentation MKT-CODE-P-001E. Introduction Single Channel Codec designed to increase the flexibility of NetVu Connected analogue/IP CCTV networks.
Overview of Search Engines
INRIA, NICE, December 7 th -8 th 2006 Data Set and Ground Truth.
What is it? The use of computers to present text, sound, graphics, animation and video in an integrated way.
DEiXTo.
= Home Button. This is a portable memory device. It can hold from around 32Mb up to 256GB. These are sometimes called ‘Flash Drives’ and they are universal,
Digital Technology Basics Digital Technology Basics includes two lessons:  Lesson 1: The Modern Digital Experience  Lesson 2: Digital Technology & Career.
Video Data Topic 4: Multimedia Technology. What is Video? A video is just a collection of bit-mapped images that when played quickly one after another.
Video Management Control-Bit Technologies video system manages various types of video inputs; analog or digital, originated in both analog & IP cameras,
Knowledge Systems Lab JN 8/24/2015 A Method for Temporal Hand Gesture Recognition Joshua R. New Knowledge Systems Laboratory Jacksonville State University.
Video Data Topic 4: Multimedia Technology. What is Video? A video is just a collection of bit-mapped images that when played quickly one after another.
Multimedia. Definition What is Multimedia? Multimedia can have a many definitions these include: Multimedia means that computer information can be represented.
CCTV with POS Overlay Fully integrated Database search facility S.A.Cash Register (Pty) Ltd.
Digital Video and Multimedia If images can portray a powerful message then video (as a series of related images) is a serious consideration for any multimedia.
Multimedia Databases (MMDB)
Animated text created using What is it?
SuperSleuth Wise. Marketing and Sales Presentation/Training.  Complete video surveillance system in the palm of your hand.  Proven video motion Detection.
CIS750 – Seminar in Advanced Topics in Computer Science Advanced topics in databases – Multimedia Databases V. Megalooikonomou Introduction.
Department of Computer Science and Engineering, CUHK 1 Final Year Project 2003/2004 LYU0302 PVCAIS – Personal Video Conference Archives Indexing System.
Video Event Recognition Algorithm Assessment Evaluation Workshop VERAAE ETISEO – NICE, May Dr. Sadiye Guler Sadiye Guler - Northrop Grumman.
Chapter 15 Recording and Editing Sound. 2Practical PC 5 th Edition Chapter 15 Getting Started In this Chapter, you will learn: − How sound capability.
Risk Management. What we offer? We provide IP video monitoring solutions for safety and security through our systems integration capabilities.
MULTIMEDIA INPUT / OUTPUT TECHNOLOGIES
ECE 172A SIMPLE OBJECT DETECTOR WITH INDICATOR WHEN A NEW OBJECT HAS BEEN ADDED TO OR MISSING IN A ROOM Presented by by Hugo Groening.
 Designed to monitor the movement of people in given area.  Used video cameras to transmit a signal to a specific place on a limited set of monitors.
Chapter 5 Technology in the Business Office Copyright © 2011, 2006 Mosby, Inc., an affiliate of Elsevier. All rights reserved.
Trends in IP video surveillance Tsvetan Filev.
Automatic Video Editing Stanislav Sumec. Motivation  Multiple source video data – several cameras in the meeting room, several meeting rooms in teleconference,
Using Cross-Media Correlation for Scene Detection in Travel Videos.
CONTENTS: 1.Abstract. 2.Objective. 3.Block diagram. 4.Methodology. 5.Advantages and Disadvantages. 6.Applications. 7.Conclusion.
Data Mining for Surveillance Applications Suspicious Event Detection Dr. Bhavani Thuraisingham.
CHAPTER 1 ABOUT VIDEO - VOCABULARY. VIDEO A recording of moving visual images made digitally or on videotape.
Video Data Topic 4: Multimedia Technology. What is Video? A video is just a collection of bit-mapped images that when played quickly one after another.
By Jason Swoyer.  Computer forensics is a branch of forensic science pertaining to legal evidence found in computers and digital storage mediums.  Computer.
A2 Agreement Trial ICT November Key Points from Moderation  Majority of centres applied the assessment criteria successfully  Tasks selected and.
NETWORK VIDEO SURVEILLANCE. CCTV Closed-Circuit Television (CCTV) is the use of video cameras to transmit signal to a specific place on a designated device.
Date of download: 7/8/2016 Copyright © 2016 SPIE. All rights reserved. A scalable platform for learning and evaluating a real-time vehicle detection system.
Various Features and Services Provided By the SpotCam.
Information Retrieval in Practice
Basic Multimedia Equipment
Forensic Specialist.
AMCOM Digital Archive Design Review - Week 4.
DCT IMAGE COMPRESSION.
Video Surveillance for Human Emotion Identification(VSHEI)
Ahmet Fatih Mustacoglu
Title of poster... M. Author1, D. Author2, M. Author3
Title of ePoster... M. Author1, D. Author2, M. Author3
Presentation transcript:

i-LIDS i magery L ibrary for I ntelligent D etection S ystems Luke Sands

Scientific Development BranchIntroduction l Who are HOSDB? l i-LIDS project l Video Evidence Analysis l Questions

Scientific Development Branch HOSDB l l Home Office Scientific Development Branch l l Impartial technical advice, support and evaluation for the UK Police and Government l l Detection and Vision Systems Group

Scientific Development Branch i-LIDS l l Collection of real-world Closed Circuit TeleVision (CCTV) test imagery l l Aim 1: Performance evaluations of Vision- Based Detection Systems (VBDS) l l Aim 2: Imagery for future system and algorithm development

Scientific Development Branch Background l l VBD systems could help UK Police and Government be more efficient l l Many systems already available l l Performance variation between these systems and the applications l l HOSDB need to quickly assess the suitability of VBDS for typical outdoor applications

Scientific Development Branch Chosen Scenarios l l Sterile zone or perimeter monitoring l l Parked vehicle detection l l Abandoned baggage detection l l Doorway surveillance and monitoring

Scientific Development Branch Consultation and trials Academia Industry Government and Police users The i-LIDS specification generated through consultations with: VMD trials have helped develop the specification for the library content

Scientific Development Branch i-LIDS Content l l Should allow rapid and consistent evaluations l l Representative of 12-months live testing at operational sites l l Contain all plausible variations to calculate an indication of performance for most scenes l l Relevant for development over next years

Scientific Development Branch Content example Test imagery weighted towards the boundaries the capability of VBD systems and the user operational requirements

Scientific Development Branch Scenario Contents Event alarms that should be detected Non-event alarms that should be ignored

Scientific Development Branch Sterile Zone Monitoring A typical ‘event alarm’ test sequence filmed at HOSDB premises

Scientific Development Branch Doorway Monitoring A typical ‘event alarm’ test sequence captured from a CCTV camera on site

Scientific Development Branch Parked Vehicle Detection A typical ‘non-event alarm’ test sequence captured from a town center CCTV camera

Scientific Development Branch i-LIDS Sets Two public sets: l l System training set l l System testing set One private HOSDB set: l l In-house system evaluation set Three similar i-LIDS sets of the four scenarios

Scientific Development Branch i-LIDS Structure i-LIDS

Scientific Development Branch Image Collection l l Imagery taken from standard PAL output CCTV video cameras l l Recorded to portable broadcast quality digital Betacam tape recorders l l Transferred via SDI to PC for editing and tagging l l Simple editing and limited compression to minimise artifacts

Scientific Development Branch Image Storage l l Test sequences of varying length and complexity l l Accompanied by simple XML ground truth l l Library sets supplied on large HHD and searchable using the XML database l l Master copies held by HOSDB on digital Betacam tapes

Scientific Development Branch i-LIDS Distribution l l Calibrated imagery accompanied by complete glossary of descriptors l l Available to public in QuickTime Motion JPEG format l l Demonstration samples and updates may be available on DVD or some other means l l A complete 24hr set will be available on hard disc drive

Scientific Development Branch Police Automatic Picture Analysis (PAPA) l Huge volume of video evidence associated with major investigations l Can come in a variety of forms, e.g. l Analogue multiplexed videotapes l Timelapse l DVDs/CDs l Need to extract useful information l Can technology help?

Scientific Development BranchPAPA l Two stage process l Video handling l Automatic Analysis Tools (AATs) l Demonstrator for video handling developed l Currently undergoing assessment l Implement AATs l Have conducted brief literary review l Looking to test?

Any Questions?