40 citations · 49 across the 4 of their papers we have counts for
4 papers
Background Subtraction with Real-time Semantic Segmentation
Dongdong Zeng, Xiang Chen, Ming Zhu +2
Accurate and fast foreground object extraction is very important for object tracking and recognition in video surveillance. Although many background subtraction (BGS) methods have…
A Robust Local Binary Similarity Pattern for Foreground Object Detection
Dongdong Zeng, Ming Zhu, Hang Yang
Accurate and fast extraction of the foreground object is one of the most significant issues to be solved due to its important meaning for object tracking and recognition in video s…
Combining Background Subtraction Algorithms with Convolutional Neural Network
Dongdong Zeng, Ming Zhu, Arjan Kuijper
Accurate and fast extraction of foreground object is a key prerequisite for a wide range of computer vision applications such as object tracking and recognition. Thus, enormous bac…
Guided Filter based Edge-preserving Image Non-blind Deconvolution
Hang Yang, Ming Zhu, Zhongbo Zhang +1
In this work, we propose a new approach for efficient edge-preserving image deconvolution. Our algorithm is based on a novel type of explicit image filter - guided filter. The guid…