A Convolutional Neural Network Hand Tracker John Platt, Steve Nowlan Neural Information Processing Systems Foundation|January 1995 论文与出版物 We describe a system which can track a hand in a sequence of video frames and recognize hand gestures in a user-independent manner. The system locates the...
Nowlan, S., Platt, J.: A convolutional neural network hand tracker. In: Advances in Neural Information Processing Systems, pp. 901–908 (1995) Ciaparrone, G., et al.: Deep learning in video multi-object tracking: a survey. Neurocomputing 381, 61–88 (2020) Article Google Scholar Ander...
Victor Dibia, HandTrack: A Library For Prototyping Real-time Hand TrackingInterfaces using Convolutional Neural Networks,https://github.com/victordibia/handtracking @article{Dibia2017,author={Victor, Dibia},title={HandTrack: A Library For Prototyping Real-time Hand TrackingInterfaces using Convolutiona...
Victor Dibia, HandTrack: A Library For Prototyping Real-time Hand TrackingInterfaces using Convolutional Neural Networks,https://github.com/victordibia/handtracking @article{Dibia2017, author = {Victor, Dibia}, title = {HandTrack: A Library For Prototyping Real-time Hand TrackingInterfaces using ...
Recently, some trackers based on convolutional neural network (CNN) have shown some promising results by exploiting the rich convolutional features. In this paper, we propose a novel DenseTracker based on a mutli-task dense convolutional network. To learn a more compact and discriminative ...
(2015a). A convolutional neural network cascade for face detection. In IEEE Proceedings of international conference on computer vision and pattern recognition (CVPR) (pp. 5325–5334). Li, J., & Zhang, Y. (2013). Learning surf cascade for fast and accurate object detection. In Proceedings ...
(e.g., Fig.S4).bHierarchical ordering of learned weights in the last layer of the convolutional neural network (CNN).X-axis denotes the 256 outputs while theY-axis denotes the mean Pearson correlation between an individual channel and the measured saliency map. Each channel can be seen as ...
We used a convolutional neural network for the encoder Φ and a spatial broadcast decoder θ64. Where that work learned segmentation masks using an attention network, we used ground truth segmentation masks from the dataset. For a given image x and a segmentation mask m with K = 8 ...
The use of hand-crafted features is an explicit limitation because it implies task-specific a priori knowledge, which can be very difficult to define in the case of a sophisticated video surveillance scene. Recently, deep convolutional neural networks (CNN) has resurfaced as an effective method ...
CREPE Pitch Tracker CREPE is a monophonic pitch tracker based on a deep convolutional neural network operating directly on the time-domain waveform input. CREPE is state-of-the-art (as of 2018), outperfoming popular pitch trackers such as pYIN and SWIPE: ...