Real-time and event-triggered object detection, recognition, and tracking

Blizzard, Desiree; Davar, Somayeh; Mohammadi, Arash

doi:10.1109/mwscas.2017.8053241

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“…The algorithm carries out object detection by predicting class probability and bounding box using neural network. Blizzard et al [12] have presented approach for real-time human detection and tracking using Bayesian filtering framework and convolutional neural network on IP PTZ camera. Lakshmi Devasena et al [13] have described an automatic video surveillance and object tracking system using background foreground subtraction technique to detect objects and track the objects by template matching to activate the Pan Tilt mechanism.…”

Section: Literature Reviewmentioning

confidence: 99%