4,742 research outputs found
Fast and accurate object detection in high resolution 4K and 8K video using GPUs
Machine learning has celebrated a lot of achievements on computer vision
tasks such as object detection, but the traditionally used models work with
relatively low resolution images. The resolution of recording devices is
gradually increasing and there is a rising need for new methods of processing
high resolution data. We propose an attention pipeline method which uses two
staged evaluation of each image or video frame under rough and refined
resolution to limit the total number of necessary evaluations. For both stages,
we make use of the fast object detection model YOLO v2. We have implemented our
model in code, which distributes the work across GPUs. We maintain high
accuracy while reaching the average performance of 3-6 fps on 4K video and 2
fps on 8K video.Comment: 6 pages, 12 figures, Best Paper Finalist at IEEE High Performance
Extreme Computing Conference (HPEC) 2018; copyright 2018 IEEE; (DOI will be
filled when known
Biometric Authentication System on Mobile Personal Devices
We propose a secure, robust, and low-cost biometric authentication system on the mobile personal device for the personal network. The system consists of the following five key modules: 1) face detection; 2) face registration; 3) illumination normalization; 4) face verification; and 5) information fusion. For the complicated face authentication task on the devices with limited resources, the emphasis is largely on the reliability and applicability of the system. Both theoretical and practical considerations are taken. The final system is able to achieve an equal error rate of 2% under challenging testing protocols. The low hardware and software cost makes the system well adaptable to a large range of security applications
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