SentiVeillance SDK

Face identification and movement tracking for video surveillance systems

SentiVeillance SDK is designed for developing software that performs biometric face identification and detects moving pedestrians or vehicles or other objects using live video streams from high-resolution digital surveillance cameras.

The SDK is used for passive identification – when passers-by do not make any efforts to be recognized. List of possible uses includes law enforcement, security, attendance control, visitor counting, traffic monitoring and other commercial applications.

Available as a software development kit that allows solution development for Microsoft Windows and Linux platforms.

Download 30-day SDK Trial.

Technical Specifications

SentiVeillance SDK includes separate algorithms for biometric face recognition and motion detection and tracking. Depending on the surveillance system design, one of these algorithms may be used. Below are specifications for these algorithms.

Technical Specifications for Biometric Face Recognition Algorithm

4 % of the frame's larger side (at least 32 pixels) is the minimal recommended distance between eyes for a face on video stream or image to perform reliable face tracking and template extraction. The speeds of face tracking, template extraction and matching against a watchlist database are dependent on actual size of a face in a frame, not on the size of the whole frame.

SentiVeillance has certain tolerance to face posture that assures face detection and tracking:

  • head roll (tilt) – ±15 degrees from frontal position;
  • head pitch (nod) – ±15 degrees from frontal position;
  • head yaw (bobble) – ±45 degrees from frontal position.

See also the whole list of recommendations and constraints for SentiVeillance usage.

The performance specifications are provided for Intel Core i7-4771 processor, running at 3.5 GHz clock rate, and 1920 x 1080 pixels videos.

SentiVeillance 6.0 biometric face recognition algorithm technical specifications
Frame rate when tracking up to 5 faces More than 25 frames per second
Face watch-list database matching time (1) Less than 0.5 second
Single face record size in a template (kilobytes) 5.0 or 7.0 (configurable)
Maximum face watch-list database size Limited by amount of free RAM

(1) up to 20,000 face records in the database; larger database yelds slower response time. Note that each person may be represented by several records in the database with different appearance variations, different capture angles etc.

Technical Specifications for Motion Detection and Tracking Algorithm

40 x 40 pixels is the minimal moving object size for its detection and tracking. The pedestrians or moving objects tracking performance is dependent on actual size of an object in a frame, not on the size of the whole frame.

The performance specifications are provided for Intel Core i7-4771 processor, running at 3.5 GHz clock rate, and 1920 x 1080 pixels videos.

SentiVeillance 6.0 motion detection and tracking algorithm technical specifications
Frame rate when tracking up to 3 pedestrians More than 30 frames per second
Frame rate when tracking up to 4 cars and occasional pedestrians More than 27 frames per second