Smart frame selection for action recognition
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. 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 …
Smart frame selection for action recognition
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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 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 ...
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 ... 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 ...
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 · Action recognition is computationally expensive. In this paper, we address the problem of frame selection to improve the accuracy of action recognition. In …
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 ... cscl has bcc structureWebJul 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 … cscl has bcc structure with cs+ at the centreWebWe 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 … dyson animal 2 for saleWebMar 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. cs cliff\u0027sWebAction 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 … dyson animal 2 originWebMay 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 … csc life insuranceWebJan 8, 2024 · About Press Copyright Contact us Creators Advertise Developers Terms Privacy Policy & Safety How YouTube works Test new features Press Copyright Contact us Creators ... csc library