Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: A fuzzy spatial coherence-based approach to background/foreground separation for moving object detection
Fuzzy Running Average and Fuzzy Background Subtraction: Concepts and Application
Object Discovery in Videos as Foreground Motion Clustering
A novel background-weighted histogram scheme based on foreground saliency for mean-shift tracking
A Multi-transformational Model for Background Subtraction with Moving Cameras
a statistical approach for real time robust background subtraction .
A multi-sensor fusion system for moving object detection and tracking in urban driving environments
Effective Gaussian mixture learning for video background subtraction
MaskFusion: Real-Time Recognition, Tracking and Reconstruction of Multiple Moving Objects
Saliency Optimization from Robust Background Detection
Adaptive background mixture models for real-time tracking
Development of Optical Flow Based Moving Object Detection and Tracking System on an Embedded DSP Processor
Implementation of real time moving object detection and tracking on FPGA for video surveillance applications
A benchmark dataset for outdoor foreground/background extraction
Irregular moving object detecting and tracking based on color and shape in real-time system
An unsupervised object-level image segmentation method based on foreground and background priors
Motion-based segmentation and contour-based classification of video objects
Foreground segmentation using adaptive mixture models in color and depth
Region-Based Particle Filter for Video Object Segmentation
Detecting and tracking all moving objects in wide-area aerial video
Coherent Motion Segmentation in Moving Camera Videos using Optical Flow Orientations
Identifying Key Users in Online Social Networks: A PageRank Based Approach
Deep Video Generation, Prediction and Completion of Human Action Sequences
Adaptive background mixture models for real-time tracking
Business Process Mining
Classification of Breast Cancer Based on Histology Images Using Convolutional Neural Networks