Smart frame selection for action recognition

Author: mype

August undefined, 2024

Webfocus on the two areas within action recognition that are most relevant to our work: frame selection as well as atten-tion and relational models. Frame Selection. Selecting … WebNov 1, 2024 · Action recognition in videos has attracted growing research interests because of the explosive surveillance data in social security applications. ... for a region in clear frames, the focus of this action is likely to be the objects related but not the action itself. ... M., Sevilla-Lara, L.: SMART frame selection for action recognition. arxiv ...

SMART Frame Selection for Action Recognition - AAAI

WebFor action recognition learning, 2D CNN-based methods are efﬁcient but may yield redundant features due to applying the same 2D convolution kernel to each frame. Recent efforts attempt to capture motion information by establishing inter-frame connections while still suffering the limited temporal receptive ﬁeld or high latency. diamond ring in silver

Smart Frame Selection for Action Recognition - 42Papers

WebWe show that the SMART frame selection consistently improves the accuracy compared to other frame selection strategies while reducing the computational cost by a factor of 4 to 10 times. Additionally, we show that when the primary goal is recognition performance, our selection strategy can improve over recent state-of-the-art models and frame ... WebDec 19, 2024 · In particular, we show that selecting good frames helps in action recognition performance even in the trimmed videos domain. Recent work has successfully leveraged … WebAbout AAAI. AAAI Officers and Committees; AAAI Staff; Bylaws of AAAI; AAAI Awards. Fellows Program; Classic Paper Award; Dissertation Award; Distinguished Service Award cisco handheld phone manual

MGSampler: An Explainable Sampling Strategy for Video Action Recognition

SMART Frame Selection for Action Recognition - Papers with Code

WebMay 18, 2024 · The frame selection could be trained to optimize the input for the downstream task as in [12,19] but this would introduce further complexity to controlling … WebNov 1, 2024 · 25. S. N. Gowda, M. Rohrbach, and L. Sevilla-Lara, “ Smart frame selection for action recognition,” in Proceedings of the AAAI Conference on Artificial Intelligence (AAAI Press, 2024), Vol. 35, Issue 2, pp. 1451– 1459. However, existing algorithms are limited to a specific application. These algorithms also incur additional computational ... cisco handset restWebDec 19, 2024 · This paper proposes a key frame selection technique in a motion sequence of 2D frames based on gradient of optical flow to select the most important frames which … diamond ring insurance progressive

"WebApr 20, 2024 · Frame sampling is a fundamental problem in video action recognition due to the essential redundancy in time and limited computation resources. The existing … " - Smart frame selection for action recognition

Smart frame selection for action recognition

Understanding the Robustness of Skeleton-based Action …

WebMar 23, 2024 · For action recognition learning, 2D CNN-based methods are efficient but may yield redundant features due to applying the same 2D convolution kernel to each frame. Recent efforts attempt to capture motion information by establishing inter-frame connections while still suffering the limited temporal receptive field or high latency. … WebDec 19, 2024 · Action recognition is computationally expensive. In this paper, we address the problem of frame selection to improve the accuracy of action recognition. In …

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WebNov 28, 2024 · This is the source code of our CVPR 2024 paper: Understanding the Robustness of Skeleton-based Action Recognition under Adversarial Attack. A new … WebMar 1, 2024 · SMART Frame Selection for Action Recognition. Article. May 2024; ... We show that the SMART frame selection consistently improves the accuracy compared to other frame selection strategies while ...

WebApr 20, 2024 · Frame sampling is a fundamental problem in video action recognition due to the essential redundancy in time and limited computation resources. The existing sampling strategy often employs a fixed frame selection and lacks the flexibility to deal with complex variations in videos. In this paper, we present an explainable, adaptive, and effective ... WebAbout Press Copyright Contact us Creators Advertise Developers Terms Privacy Policy & Safety How YouTube works Test new features Press Copyright Contact us Creators ...

WebFeb 21, 2024 · Abstract. Action recognition is an important task for video understanding. Due to expensive time consumption, the conventional approaches employing the optical flow are difficult to be used for real-time purpose. Recently, the Motion Vector (MV), which can be directly extracted from the compressed video, has been introduced for action … WebMar 23, 2024 · For action recognition learning, 2D CNN-based methods are efficient but may yield redundant features due to applying the same 2D convolution kernel to each frame. Recent efforts attempt to capture motion information by establishing inter-frame connections while still suffering the limited temporal receptive field or high latency.

Weba video is considered as a temporal sequence of 2d frames. . Recently, Xu et al. created an A2D dataset (Xu et al. 2015), where pixel-wise annotations on actors and actions ... action recognition jointly with human praising and scene recognition with a signle model, providing a more efﬁcient manner to encode the context knowledge for action ...

WebMar 6, 2024 · Video-based action recognition, which needs to handle temporal motion and spatial cues simultaneously, remains a challenging task. In this paper, our motivation is to address this issue by fully utilizing temporal information. Specially, a novel light-weight Voting-based Temporal Correlation (VTC) module is proposed to enhance temporal … cisco hardened ethernet switchWebJul 7, 2024 · In this section, we first evaluate the performance obtained by using the proposed key frame selection method for the action recognition task. We use temporal segment networks (TSN) as the basic network for action recognition. We choose the UCF101 and HMDB51 datasets in the experiment. In the training process, the mini-batch … cisco hardened routerWebJan 7, 2024 · This raises the need for an effective frame selection algorithm which can either run independently or can alternatively be plugged into any 2D and 3D action recognition model in either an online or offline scenario. Our Proposal and Contributions: In this paper, we propose a novel two-stage video-to-video summarization method termed … diamond ring insurance valuationWebFeb 18, 2024 · Detection of fights is an important surveillance application in videos. Most existing methods use supervised binary action recognition. Since frame-level annotations are very hard to get for anomaly detection, weakly supervised learning using multiple instance learning is widely used. cisco guest wireless configuration exampleWebWe call the proposed frame selection SMART and we test it in combination with different backbone architectures and on multiple benchmarks (Kinetics, Something-something, UCF101). ... {SMART Frame Selection for Action Recognition}, author={Gowda, Shreyank N and Rohrbach, Marcus and Sevilla-Lara, Laura}, journal={arXiv preprint arXiv:2012.10671 ... cisco handleidingWebWe show that the proposed frame selection consistently improves the accuracy compared to other frame selection strategies while reducing the computational cost by a factor of 4 … cisco hard teaWebMay 18, 2024 · In contrast to previous work, we propose a method that instead of selectingframes by considering one at a time, considers them jointly. This results in a … cisco harden switch