Smart frame selection for action recognition

Author: thdl

August undefined, 2024

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 … WebJan 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 …

A novel keyframe extraction method for video classification

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. 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 ... darty tabouret cuisine

Knowledge Integration Networks for Action Recognition

WebMay 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 … 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 … darty tarbes horaires

AAAI 21 SMART Frame Selection for Action Recognition ... - YouTube

DarkLight Networks for Action Recognition in the Dark

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 ... 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 ... darty tchat en ligneWebAbout Press Copyright Contact us Creators Advertise Developers Terms Privacy Policy & Safety How YouTube works Test new features Press Copyright Contact us Creators ... bita floral whitby

"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 ... " - Smart frame selection for action recognition

Smart frame selection for action recognition

A deep learning method for video‐based action recognition

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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. 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 ...

WebFeb 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. 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 ...

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 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 …

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.

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 … bita forghaniWebSMART Frame Selection for Action Recognition Action recognition is computationally expensive. In this paper, we address the problem of frame selection to improve the … darty tcl 55c825 bitag latest newsWebJan 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 … darty tcl 55c835WebMar 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 … bita ghafooriWebJul 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. bitag in actionWebAction 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 … darty tefal