This article addresses the connected-component labeling problem which consists in
assigning a unique label to all pixels of each connected component (ie, each object) in a …

Design for Embedded Image Processing on FPGAs Bridge the gap between software and
hardware with this foundational design reference Field-programmable gate arrays (FPGAs) …

This paper describes a high-frame-rate (HFR) vision system that can extract locations and
features of multiple objects in an image at 2000 f/s for 512× 512 images by implementing a …

A resource-efficient hardware architecture for connected component analysis (CCA) of
streamed video data is presented, which reduces the required hardware resources …

Background subtraction is considered the first processing stage in video surveillance
systems, and consists of determining objects in movement in a scene captured by a static …

This paper demonstrates the use of a single-chip FPGA for the segmentation of moving
objects in a video sequence. The system maintains highly accurate background models, and …

Connected component analysis is one of the most fundamental steps used in several image
processing systems. This technique allows for distinguishing and detecting different objects …

Single-pass connected components analysis (CCA) algorithms suffer from a time overhead
to resolve labels at the end of each image row. This work demonstrates how this overhead …

Due to the demand for real-time processing in real-time automatic target recognition
(RTATR) systems, fast connected components analysis (CCA) is significant to RTATR …

Object detection and tracking are main tasks in video surveillance systems. Extracting the
background is an intensive task with high computational cost. This work proposes a …