Smart frame selection for action recognition

Author: hmzu

August undefined, 2024

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 particular, we … WebJul 1, 2024 · Abstract. Human action recognition is one of the most important topics in computer vision. Monitoring elderly people and children, smart surveillance systems and human-computer interaction are a few examples of its applications.

Revisiting Hard Example for Action Recognition IEEE Journals ...

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 ... 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 … births of 1947

SMART Frame Selection for Action Recognition

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 … 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 ... WebOct 1, 2024 · We showthat the SMART frame selection consistently improves the accuracy compared toother frame selection strategies while reducing the computational cost by a factorof 4 to 10 times. births of famous people

Handcrafted localized phase features for human action recognition …

FastPicker: Adaptive independent two-stage video-to

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 ... 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 ... births ohioWebAction recognition is computationally expensive. In this paper, we address the problem of frame selection to improve the accuracy of action recognition. In particular, we show that … birth software

"WebFeb 13, 2024 · On the other hand, the computational cost of a proper and accurate human action recognition is high. In this paper, we address the challenges of the preprocessing phase, by an automated selection of representative frames from the input sequences. We extract the key features of the representative frame rather than the entire features. " - Smart frame selection for action recognition

Smart frame selection for action recognition

MGSampler: An Explainable Sampling Strategy for Video Action Recognition

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 … Webstimulate progress for the task of human action recogni-tion in dark videos. Currently, there are multiple mod-els that perform well for action recognition in videos shot under normal …

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WebJan 7, 2024 · We compared it against the state-of-the-art action-recognition-based frame selection methods in the literature including FastForward [10], FrameGlimpse [9], AdaFrame [8], LiteEval [7], and SMART [6] on ActivityNet-1.3 [15]. These methods try to select the most representative key-frames in which the process of learning the key frame selection ... WebDec 19, 2024 · Abstract: Action recognition is computationally expensive. In this paper, we address the problem of frame selection to improve the accuracy of action recognition. In …

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 a simple, sparse, and explainable frame … WebWe 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 ...

WebAbout Press Copyright Contact us Creators Advertise Developers Terms Privacy Policy & Safety How YouTube works Test new features Press Copyright Contact us Creators ... WebSMART Frame Selection for Action Recognition Action recognition is computationally expensive. In this paper, we address the problem of frame selection to improve the …

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. …

WebMost of the videos are captured at approximately 24-30 frames per second, each image is called a frame where you see frames per second (FPS). In our system framerate is 1.0 means it will capture ... darice tissue paper bold colorsWebDec 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 … darice wood shapesWebJan 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 … darice washi tapeWebJan 8, 2024 · AAAI 21 SMART Frame Selection for Action Recognition (Long presentation) - YouTube 0:00 / 14:08 • Chapters AAAI 21 SMART Frame Selection for Action Recognition (Long … births on 2/22/22WebMar 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. birth songWebDec 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 … birth solutionsWebApr 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 … birth-song