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Search : [ author: 한보형 ] (2)

Spatio-Temporal Modeling via Adaptive Frequency Filtering for Video Action Recognition

Minji Kim, Taehoon Kim, Jonghyeon Seon, Bohyung Han

http://doi.org/10.5626/JOK.2024.51.12.1078

Modeling long-term spatio-temporal dependencies in video data is challenging, as CNNs often struggle to capture global context through their local receptive fields. To address this problem, we propose an efficient global spatio-temporal modeling method that integrates easily with existing CNN models. Our approach utilizes Discrete Cosine Transform (DCT) to shift information into the frequency domain, where two adaptive filtering paths operate complementarily: one removes redundant frequencies while preserving essential information, and the other enhances important frequencies for spatio-temporal modeling. We introduce DynamicMNIST, a lightweight dataset featuring various digit behaviors like shifting, rotating, and scaling. Our evaluations on three public benchmarks and DynamicMNIST demonstrate that the proposed module enhances activity recognition performance across different CNN models with minimal additional parameters and computational costs.

Ensemble Modeling with Convolutional Neural Networks for Application in Visual Object Tracking

Minji Kim, Ilchae Jung, Bohyung Han

http://doi.org/10.5626/JOK.2021.48.2.211

In the area of computer vision, visual object tracking aims to estimate the status of a target object from an input video stream, which can be broadly applicable to industries such as surveillance and the military. Recently, deep learning-based tracking algorithms have gone through significant improvements by using tracking-by-detection or template-based approach. However, these approaches are still suffering from inherent limitations caused by each strategy. In this paper, we propose a novel method to model ensemble trackers by fusing the two strategies, tracking-by-detection and template-based approach. We report significantly enhanced performance on widely adopted visual object tracking benchmarks, OTB100, UAV123, and LaSOT.


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