Visual Intelligence & Video Analytics

Post on 25-May-2015

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A survey of video analytics and visual intelligence

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Visual Intelligence & Video Analytics

Modern Visual Information Work Flow

PhysicalWorld

Decision

• Manual capture at ground level• Limited to where he can travel

A

• Auto capture at elevated level• Limited to selected locations

B

Key Milestones For Capturing Visual Information

• Auto capture from top• Freedom to view any part of Earth

D

• Auto capture from top• Freedom to roam with limited range

C

A B

DC

Key Technologies Which Drives Changes

• Invention of CCD/CMOS image sensor• Broadband communication

• Improved SW & Avionics• Solid-state IMU & Gyroscope• Composite material• Fuel cell battery

• High efficiency solar panel• Improved electronics

• Chemical-based photo-sensitive film• Miniaturized opticsTechnological changes have bring

forth new Capabilities

Google GlassSmart Watch Wearable Camera

Pill Camera

In-Vehicle Camera

Mobile Phone Camera

Proliferation of imaging devices are leading to an ever increasing amount of visual information

What’s Next ?

Mckinsey & Company, 2013 May, 12 Disruptive technologies: Advances that will transform the global economy

Opportunity : Number 5, Transportation & Traffic

LPR

Speeding

Bus lane intrusion

Smoky exhaust

Traffic condition

Opportunity : Number 3, Visual Search (Rigid/Semi-Rigid Obj)

Opportunity : Number 2, Facial Recognition

Opportunity: Number 1, Health Diagnostic

Computation Power

Data Storage

Input Sources

Bandwidth

Algorithm• ML, AI, DM• Tradeoffs

Challenges (Technical)

Challenges (Operational)

Privacy• Problem getting sufficient data

Reliability• Is it good enough ?

For many species, survival depends on whether it could

see it’s prey and predator