CK Sahu, C Young, R Rai - International Journal of Production …, 2021 - Taylor & Francis
Augmented reality (AR) has proven to be an invaluable interactive medium to reduce cognitive load by bridging the gap between the task-at-hand and relevant information by …
Abstract The problem of Multiple Object Tracking (MOT) consists in following the trajectory of different objects in a sequence, usually a video. In recent years, with the rise of Deep …
P Bergmann, T Meinhardt… - Proceedings of the …, 2019 - openaccess.thecvf.com
The problem of tracking multiple objects in a video sequence poses several challenging tasks. For tracking-by-detection, these include object re-identification, motion prediction and …
Tracking by detection, the dominant approach for online multi-object tracking, alternates between localization and association steps. As a result, it strongly depends on the quality of …
This review highlights recent efforts on applying electron microscopy (EM) to soft (including biological) nanomaterials. We will show how developments of both the hardware and …
This paper provides a literature review of some of the most important concepts, techniques, and methodologies used within autonomous car systems. Specifically, we focus on two …
J Xu, Y Cao, Z Zhang, H Hu - Proceedings of the IEEE/CVF …, 2019 - openaccess.thecvf.com
Recent progress in multiple object tracking (MOT) has shown that a robust similarity score is a key to the success of trackers. A good similarity score is expected to reflect multiple cues …
Abstract Multiple Object Tracking (MOT) has gained increasing attention due to its academic and commercial potential. Although different approaches have been proposed to tackle this …
W Wu, D He, X Tan, S Chen… - Proceedings of the IEEE …, 2019 - openaccess.thecvf.com
Video Recognition has drawn great research interest and great progress has been made. A suitable frame sampling strategy can improve the accuracy and efficiency of recognition …