Real-time on-device object detection for video analytics fails to meet the accuracy
requirement due to limited resources of mobile devices while offloading object detection …

Video object detection is a fundamental technology of intelligent video analytics for Internet
of Things (IoT) applications. However, even with extraordinary detection accuracy …

We present FlexPatch, a novel mobile system to enable accurate and real-time object
detection over high-resolution video streams. A widely-used approach for real-time video …

While single-image object detectors can be naively applied to videos in a frame-by-frame
fashion, the prediction is often temporally inconsistent. Moreover, the computation can be …

Edge-cloud collaborative video analytics is transforming the way data is being handled,
processed, and transmitted from the ever-growing number of surveillance cameras around …

Video object detection is more challenging than image object detection because of the
deteriorated frame quality. To enhance the feature representation, state-of-the-art methods …

Recent object detection studies have been focused on video sequences, mostly due to the
increasing demand of industrial applications. Although single-image architectures achieve …

Video object detection is a challenging task because of the presence of appearance
deterioration in certain video frames. One typical solution is to aggregate neighboring …

Several recent works seek to create lightweight deep networks for video object detection on
mobiles. We observe that many existing detectors, previously deemed computationally …

Advanced video analytic systems, including scene classification and object detection, have
seen widespread success in various domains such as smart cities and autonomous …