… based video stream analysis framework for object detection … of recorded video streams with
high detection and classification … criteria and the duration of video streams to analyse. The …

… detection accuracy for real-time video analytics over resource-constrained device and dynamic
edge networks under constrained detection … the overall object detection accuracy subject …

… of these reciprocal tasks intertwined with the object modeling. In the following sections, we
attempt to give an overview of the popular choices for the object detection, modeling, and track…

… This paper has summarized the development of intelligent video analytics for suspicious
object detection based on 5 research questions. Currently, suspicious object detection is …

… fast and accurate ondevice object detection and tracking technique for highresolution live
video analytics. Our key idea is trackingaware patching to combine detection and tracking in a …

… functions of video analytics and a comparative analysis of all the extant object detection
algorithms. … but can’t detect smaller objects, whereas RCNN models, being slow, give an edge in …

… detection operations, by inserting an object detection layer in a neural network with selective
… important role in video analytics, especially in preprocessing and object tracking domains. …

… methods have appeared in the literature on video object detection, many of which have utilized
… on video object detection. An overview of the existing datasets for video object detection …

… Although powered by such edge AI hardware, edge devices with different computation
capacity can run pre-trained object detection models for edge video analytics, we will show in this …

… In this work, object detection is defined as a regression problem to the coordinates of bounding
boxes. For the training part, an assignment problem between predictions and groundtruth …