Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Deep Neural Network Concepts for Background Subtraction: A Systematic Review and Comparative Evaluation
Efficient adaptive density estimation per image pixel for the task of background subtraction
Decomposition into Low-rank plus Additive Matrices for Background/Foreground Separation: A Review for a Comparative Evaluation with a Large-Scale Dataset
On the usability of deep networks for object-based image analysis
Fuzzy Running Average and Fuzzy Background Subtraction: Concepts and Application
MULTI-MODAL BACKGROUND SUBTRACTION USING GAUSSIAN MIXTURE MODELS
Saliency Optimization from Robust Background Detection
Robust techniques for background subtraction in urban traffic video
Efficient Processing of Deep Neural Networks: A Tutorial and Survey
Detection of Moving Objects Using Fuzzy Color Difference Histogram Based Background Subtraction
Analytics of deep neural network in change detection
Object Detection and Tracking using Background Subtraction and Connected Component Labeling
Comparative Evaluation of Background Subtraction Algorithms in Remote Scene Videos Captured by MWIR Sensors
Depth Adaptive Deep Neural Network for Semantic Segmentation
Image Processing With Neural Networks - a Review
Background Subtraction Based on a Robust Consensus Method
Deep Learning for Computer Vision: A Brief Review
Pixel Modeling Using Histograms Based on Fuzzy Partitions for Dynamic Background Subtraction
A survey on leveraging deep neural networks for object tracking
FPGA Implementation of Background Subtraction Algorithm for Image Processing
Comparing deep neural networks against humans: object recognition when the signal gets weaker
Background–Foreground Modeling Based on Spatiotemporal Sparse Subspace Clustering
Improving the speed of neural networks on CPUs
Application of Machine Learning Algorithms to Predict Flight Arrival Delays
system analysis of train operations and track occupancy at railway stations .
First results on bistatic MTI activity at fraunhofer FHR