Universal Object Detection Architecture (UOD)
Phi Algorithm Solutions Inc. will be developing a series of Object Detectors all based on a common architecture. This efficient architecture requires no preprocessing on subwindows, and therefore allows a high degree of resource sharing allowing for a streamlined dataflow. Moreover, by simply changing coefficients within the architecture, any type of arbitrary high performance detector can be achieved.
FD-1 Face Detector
The FD-1 is a general face detector and first in a series of object detectors based on the UOD architecture. This detector is robust to a number of slight image distortions including in-plane rotation, out-of-plane rotations, translational motion, Gaussian noise, compression artefacts, poor contrast or non-uniform lighting, partial occlusions and oversmoothing. The FD-1 detector attains a good balance of detection rates vs false alarms while remaining flexible with a high degree of programmability.
PD-1 Pedestrian Detector
The PD-1 is a pedestrian detector and tracker that leverages the existing UOD architecture. This technology is a combination of three main functions: foreground extraction, pedestrian detection, and object tracking. The PD-1 is robust to a number of slight image distortions and can be mapped to a number of implementations including CPU, DSP, RTL, and GPU.