Neurotechnology, a provider of biometric identification technologies, has announced the availability of VeriLook Surveillance 2.0, a software development kit (SDK) for biometric face identification using live video streams from single or multiple high-resolution digital surveillance cameras.
According to the company, the new product provides real-time identification of faces and can be used in a wide range of surveillance systems for retail and commercial areas, entrance monitoring and counting, automated time-attendance systems, law enforcement applications and transportation security.
Neurotechnology explains that the new, integrated face tracking algorithm includes a dynamic face model which can adapt to visual appearance changes as subjects move across the scene. It continues tracking of subjects even when their faces briefly disappear from the frame or when they are partially blocked by other objects or even other faces (a common problem while tracking multiple faces).
Meanwhile, the product incorporates theVeriLook 5.1 face recognition algorithm, which enables detection of faces with up to 45 degrees out-of-plane rotation in yaw angle, the company says. The new face tracking algorithm uses motion prediction models to re-localize faces that have undergone full occlusion, such as when a subject has been fully obstructed by a wall and emerged on the other side.
Together this means that the system can efficiently and reliably track faces in front of complex backgrounds and ensures that subjects can be localized in all video frames, even under strenuous conditions.
Tags: Biometrics, Facial Recogntion, Surveillance, Technology
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