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 …

Recent works have shown that combining object detection and tracking tasks, in the case of
video data, results in higher performance for both tasks, but they require a high frame-rate as …

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 …

This paper presents AdaVP, a continuous and real-time video processing system for mobile
devices without offloading. AdaVP uses Deep Neural Network (DNN) based tools like …

Abstract This paper introduces Multi-Resolution Rescored Byte-Track (MR2-ByteTrack) a
novel video object detection framework for ultra-low-power embedded processors. This …

We introduce a new large-scale data set of video URLs with densely-sampled object
bounding box annotations called YouTube-BoundingBoxes (YT-BB). The data set consists …

Video object detection is a fundamental research task for scene understanding. Compared
with object detection in images, object detection in videos has been less researched due to …

Event-based vision is an emerging field of computer vision that offers unique properties,
such as asynchronous visual output, high temporal resolutions, and dependence on …

Drones equipped with cameras have been fast deployed to a wide range of applications,
such as agriculture, aerial photography, fast delivery, and surveillance. As the core steps in …

Performing analytics tasks over large-scale video datasets is increasingly common in a wide
range of applications, from traffic planning to sports analytics. These tasks generally involve …