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Motivated by great performance gained by Recurrent neural network applied on machine translation, people began to pay attention to image describing with related deep learning methods. Recurrent neural network can not remember long term information but Long-Short Term Memory(LSTM) can handle this well. However, the LSTM applied on image describing to predict sentences in previous literature [1] can...
Deep Convolutional Neural Networks (DCNNs) have been demonstrated as effective models for understanding image content. The computation behind DCNNs highly relies on the capability of hardware resources due to the deep structure. DCNNs have been implemented on different large-scale computing platforms. However, there is a trend that DCNNs have been embedded into light-weight local systems, which requires...
Deep Convolutional Neural Networks (DCNN), a branch of Deep Neural Networks which use the deep graph with multiple processing layers, enables the convolutional model to finely abstract the high-level features behind an image. Large-scale applications using DCNN mainly operate in high-performance server clusters, GPUs or FPGA clusters; it is restricted to extend the applications onto mobile/wearable...
Online human action recognition has broad application prospect in many fields of computer vision. Simultaneously, with the advent of depth camera, it brings on a new trend of online human action recognition but still present some unique challenges. In this paper, to solve the lower accuracy of the existing online human action recognition algorithm based on depth camera, we adopt the improved Dynamic...
Vega software is widely used for infrared simulation. This study proposes a method for evaluating the effect of infrared objective stealth based on Vega software combined with image feature point matching technique. Vega software is used to simulate a group of infrared images before and after target stealth. Afterwards, feature points are acquired from the target images. Hausdorff distance between...
Expressing emotion to others and recognizing emotion state of the counterpart are not difficult for human. Emotion state of a person may be recognized from the facial expression, voice, and/or gesture. Speech emotion recognition research gained a lot of attention in recent years. One of the important subjects in speech emotion recognition research is the feature selection. The speech features used...
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