Person following in crowded indoor environments remains challenging owing to occlusion-induced tracking loss and identity confusion among bystanders. We propose a crossmodal person-following system that couples three components: First, a video object segmentation tracker, initialized by a single click on the target per...
Rohan Saini, Kosei Isomoto, H. Tamukoh· IEEE International Symposium...· 0 citations
This paper proposes a novel compute-in-memory architecture comprising multi-valued memory units using binary nonvolatile memory devices (NVMs) for brainmorphic circuits. The proposed architecture employs parallel-connected binary nonvolatile memory devices with thermometer-code representation to mitigate the impact of...
T. M. Jones, Yuka Shishido, Osamu Nomura et al.· Midwest Symposium on Circuit...· 0 citations
Experimental results support the study's hypothesis and indicate that incorporating this real-time feedback function can simultaneously improve task success and the user experience.
Ryo Terashima, Yuga Yano, Koshun Arimura et al.· IEEE International Symposium...· 0 citations
This paper proposes a lightweight reservoir computing (RC)-based approach for SLR that achieved Top-1, Top-5, and Top-10 accuracies on the Word-Level American Sign Language 100 video dataset, demonstrating competitive performance compared to deep learning-based approaches.
Nitin Kumar Singh, A. R. Syulistyo, Yuichiro Tanaka et al.· 0 citations
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