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Near-Field People Search Profile. Rogerio Feris , Lisa Brown, Russ Bobbitt. People Search in Surveillance Videos. Traditional Approaches: Face Recognition
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Near-Field People Search Profile RogerioFeris, Lisa Brown, Russ Bobbitt
People Search in Surveillance Videos Traditional Approaches: Face Recognition Face recognition is very challenging under lighting changes, pose variation, and low-resolution imagery (typical conditions in surveillance scenarios) Proposed Approach: Attribute-based People Search Rather than relying on face recognition only, we provide a complementary people search framework based on parts and fine-grained attributes Query Example: “Show me allbald peopleat the 42nd street station last monthwith dark skin, wearingsunglasses, wearing ared jacket”
System Overview Video from camera Video from camera Analytics Engine Attribute Detectors Face Detection & Tracking BackgroundSubtraction Database Backend Search Interface Results – thumbnails matching query Suspect Description Form (Query Specification)
Ranking Motivation Time Order (3.6.7) Rank Order (4.0)
Query Examples: Multiple Attributes Bald=“Yes” Skin=“Light” Torso=“Black” Caucasian bald male with black shirt
Query Examples: Multiple Attributes Skin=“Dark”, Torso=“Blue and Yellow” African American male, wearing a blue shirt and carrying a yellow bag
Query Examples: Multiple Attributes Sunglasses=“Yes” Skin=“Light”, Torso=“Yellow” Caucasian female with dark sunglasses wearing a yellow dress
Query Examples: Multiple Attributes Skin=“Medium” Torso=“Black and Yellow” Female with medium skin tone wearing a black shirt and carrying a yellow bag
Query Examples: Multiple Attributes Skin=“Light”, Torso=“Black, Green and Yellow” Caucasian male wearing black shirt with green and yellow logo
Query Examples: Multiple Attributes Bald=“Yes” Skin=“Dark” Torso=“White” Bald, African American male wearing a white shirt.
Query Examples: Multiple Attributes Bald=“Yes” Sunglasses=“Yes” Skin=“Dark” Torso=“Blue” African American bald male wearing sunglasses and a blue tie
Known Issues Face Detection Entire Face not Visible Always Looking Down or Face at Strange Orientation Face Always in Profile Non-Faces
Known Issues Sunglasses Detection Shadows Under Eyes Confusion with Eyeglasses
Known Issues Forehead and hair are similar color Headwear gives “bald-like” appearance Bald Detection Dome-shaped hair style High forehead
Known Issues Faces in Shadows Look Similar Skin Tone Detection False-Positives Are Often Classified as “Light” Face Box Includes Bright Non-Face Elements
Known Issues Face captured at bottom of image Torso Color Occlusions White sometimes gives off bluish cast (AWB) Skin included in classification (red)