James Elder, Project Leader York Universityelderlab.yorku.ca/3DSN/GEOIDE/pilotProjectIntro.pdf · James Elder, Project Leader York University. 2 ... – Surveillance video, UAV photogrammetry,

Three-Dimensionalizing Surveillance Networks

James Elder, Project Leader

York University

2

The challenge

• To use persistent visual surveillance data to maintain and improve the security and efficiency of our urban centres in the face of rapid growth and increasing complexity

3

Current obstacles

• Most surveillance data are ignored due to lack of adequate manpower and reliable visual algorithms.

• Persistent visual surveillance systems are poorly integrated with other forms of geospatial information

• Surveillance cams compress the 3D scene into 2D, making inference difficult

4

Example (real, but anonymous public institution)

400 cameras 8 monitors 2 vigilant undergraduates

What if something happens?

5

What if something happens?

6

A better way

7

Street level

8

Street Level

9

Goals

• Automatic, efficient, scaleable methods for extraction and integration of 2D and 3D urban data at street level– Surveillance video, UAV photogrammetry, airborne & terrestrial

LIDAR…

• Automatic inference of 3D scene properties– Scene segmentation, building characteristics, foliage modeling

• Automatic inference of 3D scene dynamics– Human and pedestrian traffic

• Integrated reporting and 3D visualization– For efficient human interpretation

• Integration into distributed software architecture– CAE S-Mission architecture

10

Scientific Questions

• There are many, e.g.,– How can 3D urban scene information be reliably extracted from

single-view video?

– How can individuals be discriminated in crowds?

– How can free-form structures (e.g., trees) be reliably segmented from the scene?

– How can multiple forms of geolocation data (GPS, inertial, visual) be integrated to optimize positioning?

11

Applications

• Public and private security

• Urban planning

• Business analytics

12

Jim Little

UBC

Academic Team

YorkJames Elder Gunho Sohn

Ayman Habib

Calgary

Dave Clausi John Zelek

Waterloo

Claire Samson

Carleton

Frank Ferrie

McGill

13

Associated Korean Land Spatialization Group Projects

• Project 1. Real-time Aerial Monitoring System – Project Leader: Impyeong Lee, Head, Dept. of Geoinformatics,

The University of Seoul

• Project 2. Mobile Mapping at Street Level– Project Leader: Taejung Kim, Associate Professor, Dept. of

Geoinformatic Engineering, Inha University

Partners: 3D Modeling and Mapping

15

City of Toronto Survey & Mapping Services

• 2D and 3D mapping and modeling

• Asset management

• Bylaw enforcement

16

Defence Research & Development Canada

• 3D automatic target detection & recognition

17

CAE

• 3D modeling and simulation

• 3D immersive visualization

• Distributed real-time systems

18

Presagis

• COTS 3D modeling and simulation products

19

Applanix

• Mobile mapping and positioning– GPS + Inertial + Visual

20

Array Systems

• 3D LIDAR scanning and modeling

• Scaleable signal processing systems

21

dmti Spatial

• Location-based data and services

Partners: Scene Dynamics

23

Ministry of Transport Ontario

• COMPASS Highway Surveillance Network

24

Honeywell Video Systems

• Intelligent visual systems for surveillance and business analytics– People and object tracking

– Face detection

– Crowd density measurements

25

Aimetis

• Intelligent video surveillance systems– Infrastructure

– Transportation

– Retail

26

Miovision

• Automated traffic flow analysis

27

Aeryon Labs

• Small electric UAVs for visual surveillance

28

For more on the project…

• Kick-off workshop Saturday 9-5 in King George Room: feel free to drop in.