基于CNN 和LSTM 混合模型的人体跌倒行为研究.
厍向阳， 苏学威 - Application Research of Computers …, 2019 - search.ebscohost.com
目前深度学习模型不能较好地把监控视频中跌倒行为的空间和时序特征有效结合起来. 为此,
提出基于CNN (convolutionalneuralnetwork) 和LSTM (long shorttermmemory) …
提出基于CNN (convolutionalneuralnetwork) 和LSTM (long shorttermmemory) …
[PDF][PDF] 基于多目标视频图像边缘特征的核相关滤波跟踪算法
张博， 刘红平 - Laser & Optoelectronics Progress, 2021 - researching.cn
摘要针对视频图像中多目标运动, 边缘特征模糊, 目标跟踪难度大的问题, 提出了一种基于多目标
视频图像边缘特征的核相关滤波跟踪算法. 首先, 将视频图像中目标运动轨迹的3 …
视频图像边缘特征的核相关滤波跟踪算法. 首先, 将视频图像中目标运动轨迹的3 …
自适应尺度特征融合与模型更新的跟踪算法.
王日宏， 李永臖， 张立锋 - Application Research of …, 2019 - search.ebscohost.com
在核相关滤波器跟踪算法中, 为了减少背景相似物等杂波对跟踪器的干扰,
以及解决不同跟踪结果置信度下的模型更新问题, 提出了自适应尺度特征融合与模型更新的跟踪 …
以及解决不同跟踪结果置信度下的模型更新问题, 提出了自适应尺度特征融合与模型更新的跟踪 …
Correlation Filter Tracking Algorithm Based on Spatio-Temporal Context
J Die, N Li, Y Liu, Y Wu - Advances in Natural Computation, Fuzzy Systems …, 2020 - Springer
Object tracking has been widely used in artificial intelligence, military reconnaissance,
security monitoring and other fields. It has become a research hotspot of computer vision. To …
security monitoring and other fields. It has become a research hotspot of computer vision. To …
Scale Adaptive Target Tracking Algorithm Based on Correlation Filtering
F Lin, H Wei, Y Qi, Q Li - Journal of Physics: Conference Series, 2019 - iopscience.iop.org
Focusing on the issue that the kernel correlation filter tracking method can not accurately
adapt to the target scale change, a scale estimation method is added under the kernel …
adapt to the target scale change, a scale estimation method is added under the kernel …