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 …

The use of advanced driver assistance systems is becoming increasingly common in road‐
going vehicles. One application of these driver assistance systems is in the automated …

Classical connected components labelling algorithms are unsuitable for real-time
processing of streamed images on an FPGA because they require two passes through the …

High level synthesis (HLS) tools can provide significant benefits for implementing image
processing algorithms on FPGAs. The higher level (usually C based) representation enables …

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 …

Neuromorphic vision sensors (NVSs) are key enablers of energy savings in Internet of
Things (IoT)-based traffic monitoring and surveillance systems that exploit the temporal …

Connected Component Labeling (CCL) is a basic algorithm in image processing and an
essential step in nearly every application dealing with object detection. It groups together …

Fault‐tolerance is an essential part of a stream processing system that guarantees data
analysis could continue even after failures. State‐of‐the‐art distributed stream processing …

This paper introduces a real-time connected component labelling algorithm designed for
field programmable gate array (FPGA) implementation. The algorithm run-length encodes …