… detected object (multiclass classification) by using the region of … a backbone network on
the Nvidia GTX 1060 GPU, using the … Xu, “Background modeling methods in video analysis: A …

… amounts of videos generated in real-time, manual video analysis by … a hybrid use of neural
networks and statistical k nearest … video, objects diverging from the nominal paths and class …

… non-stationary streaming data analysis. They claimed that one-class classifier can adapt its
… on multi view surveillance videos connected in a visual sensor network in different dynamic …

… anomalies in real-world surveillance videos, such as fighting, … More implementation details
of our algorithm could refer to … , we calculate the per-class AP value for each action category. …

… Shincheonji and monitoring them exclusively by public officials. … on-the-spot samples from
patients outside the booth by using a … and analysis draw a few important lessons as follow: …

… if the inputs belongs to two different type ( or class), or into a small or minimum distance in
… Network face Recognition using FaceNet algorithm, storing the recognized face for analysis …

… recognition framework using fuzzy logic for anomaly surveillance system is … from key frames
which were selected using fuzzy logic. For complicated image processing and video analysis …

… and no mask categories using the output class confidence. The … We used webcam for social
distance monitoring using cv2 and … solution with body gesture analysis to understand if an …

… This is followed by a cross case analysis where we present a … by introducing and applying
platform theory from the … Montevideo benefitted from a small but active network of developers …

… share lessons learned that may be relevant to other public … network, where 77% of indicated
HIV tests and 85% of creatinine tests were ordered. We attribute the high rate of monitoring …