Background subtraction is a widely used approach for detecting moving objects from videos
captured with static a camera. This chapter introduces the basic concept behind this …

Construction workers are at high risk of work-related musculoskeletal disorders (WMSDs)
due to physically demanding manual-handling tasks in awkward postures. Although existing …

Processing a video stream to segment foreground objects from the background is a critical
first step in many computer vision applications. Background subtraction (BGS) is a …

Microplastics fibers are abundant in aquatic environments and are an emerging
environmental threat. Understanding how fibers are transported in aquatic environments is …

Quality management is a fundamental component of a manufacturing process. In this paper,
we propose a promising learning-based approach for automatic defect detection based on …

Real-time detection of fire flame in video scenes from a surveillance camera offers early
warning to ensure prompt reaction to devastating fire hazards. Many existing fire detection …

Population of old generation is growing in most countries. Many of these seniors are living
alone at home. Falling is among the most dangerous events that often happen and may …

We propose a novel post-processing framework to improve foreground segmentations with
the use of Probabilistic Superpixel Markov Random Fields. First, we convert a given pixel …

Background subtraction is a widely used operation in the video surveillance, aimed at
separating the expected scene (the background) from the unexpected entities (the …

Computer vision has become increasingly better at segmenting objects in images and
videos; however, scene effects related to the objects--shadows, reflections, generated …