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Improved data association and occlusion handling for vision-based people tracking by mobile robots

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TLDR
In this paper, an approach for tracking multiple persons using a combination of colour and thermal vision sensors on a mobile robot is presented. But this approach is not suitable for indoor environments.
Abstract
This paper presents an approach for tracking multiple persons using a combination of colour and thermal vision sensors on a mobile robot. First, an adaptive colour model is incorporated into the measurement model of the tracker. Second, a new approach for detecting occlusions is introduced, using a machine learning classifier for pairwise comparison of persons (classifying which one is in front of the other). Third, explicit occlusion handling is then incorporated into the tracker.

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Journal ArticleDOI

Optical flow or image subtraction in human detection from infrared camera on mobile robot

TL;DR: A new approach to real-time human detection through processing video captured by a thermal infrared camera mounted on the autonomous mobile platform mSecurit^T^M is introduced and optical flow or image difference will emphasize the foreground hot spot areas obtained at the initial human candidates' detection.
Journal ArticleDOI

Vision and RFID data fusion for tracking people in crowds by a mobile robot

TL;DR: An active perception system, consisting of a camera mounted on a pan-tilt unit and a 360^o RFID detection system, both embedded on a mobile robot, and a multi-sensor-based control strategy based on the tracker outputs and on the RFID data is designed.
Journal ArticleDOI

Where am I in the dark

TL;DR: This paper introduces an image-based localization system based on thermal imaging and applies active transfer learning to enrich the thermal image classification learning, where normal RGB images are treated as the source domain, and thermal images are the target domain.
Journal ArticleDOI

ENRICHME: Perception and Interaction of an Assistive Robot for the Elderly at Home

TL;DR: The ENRICHME robot was tested in three pilot sites around Europe and proven to be an effective assistant for the elderly at home and presents several modules created to provide cognitive stimulation services for elderly users with mild cognitive impairments.
Journal ArticleDOI

Multisensor Information Fusion for People Tracking With a Mobile Robot: A Particle Filtering Approach

TL;DR: An LRF-based detection algorithm is proposed to identify the pairs of human legs, by combining motion information and metric features and a near-optimal particle filter is designed to fuse the measurements from the LRF and the camera.
References
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Proceedings ArticleDOI

Rapid object detection using a boosted cascade of simple features

TL;DR: A machine learning approach for visual object detection which is capable of processing images extremely rapidly and achieving high detection rates and the introduction of a new image representation called the "integral image" which allows the features used by the detector to be computed very quickly.
Journal ArticleDOI

A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting

TL;DR: The model studied can be interpreted as a broad, abstract extension of the well-studied on-line prediction model to a general decision-theoretic setting, and it is shown that the multiplicative weight-update Littlestone?Warmuth rule can be adapted to this model, yielding bounds that are slightly weaker in some cases, but applicable to a considerably more general class of learning problems.
Journal ArticleDOI

Novel approach to nonlinear/non-Gaussian Bayesian state estimation

TL;DR: An algorithm, the bootstrap filter, is proposed for implementing recursive Bayesian filters, represented as a set of random samples, which are updated and propagated by the algorithm.
Journal ArticleDOI

C ONDENSATION —Conditional Density Propagation forVisual Tracking

TL;DR: The Condensation algorithm uses “factored sampling”, previously applied to the interpretation of static images, in which the probability distribution of possible interpretations is represented by a randomly generated set.
Journal ArticleDOI

Color indexing

TL;DR: In this paper, color histograms of multicolored objects provide a robust, efficient cue for indexing into a large database of models, and they can differentiate among a large number of objects.
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