Real-time human segmentation in infrared videos

Abstract

a b s t r a c tIn this paper, a new approach to real-time people segmentation through processing images captured by an infrared camera is introduced. The approach starts detecting human candidate blobs processed through traditional image thresholding techniques. Afterwards, the blobs are refined with the objective of validating the content of each blob. The question to be solved is if each blob contains one single human candidate or more than one. If the blob contains more than one possible human, the blob is divided to fit each new candidate in height and width.

Multispectrum Video for Proactive Response in Intelligent Environments

“…Though, these cameras have two main drawbacks. First, they need environments with good visibility, making them not suitable for night environments or low visibility conditions [8]. Also, people monitored by these cameras can feel that their privacy is being reduced, especially in areas such as bedrooms or bathrooms, making uncomfortable for them to daily live being surrounded by these cameras.…”

Thermal-Infrared Pedestrian ROI Extraction through Thermal and Motion Information Fusion

“…This paper introduces a new algorithm for robust ROI extraction of pedestrians in thermal-infrared video based on the authors' previous works [16,17]. In addition to presenting the algorithm, the main objective of this article is to draw firm conclusions about the environmental conditions under which it can be affirmed that it is efficient to use thermal-infrared cameras to robustly detect pedestrians.…”

Long-Term Occupancy Analysis Using Graph-Based Optimisation in Thermal Imagery

“…This section will therefore provide information on the physical foundation of thermal radiation and cameras. All objects with a temperature above the absolute zero emit infrared radiation, mainly in the mid-wavelength infrared spectrum (MWIR, 3-5 μm) and long-wavelength infrared spectrum (LWIR,(8)(9)(10)(11)(12)(13)(14)(15). This is often referred to as thermal radiation.…”

“…The thermal cameras can here often be a better choice than a normal visual camera. The methods applied to thermal imaging span from simple thresholding and shape analysis [43,17,39,15,7] to more complex, but well-known methods such as HOG and SVM [42,37,41,31,26] as well as contour analysis [10,9,27,38]. Using simple methods allows for fast real-time processing, and combined with the illumination independency, the thermal sensor is very well suited for detecting humans in real-life applications.…”