An iterative integrated framework for thermal–visible image registration, sensor fusion, and people tracking for video surveillance applications

Torabi, Atousa; Massé, Guillaume; Bilodeau, Guillaume-Alexandre

doi:10.1016/j.cviu.2011.10.006

Cited by 148 publications

(77 citation statements)

References 16 publications

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“…In addition, we also illutrate some experimental results to motivate the usage of the proposed model on thermal data [10]. Regarding the comparative analysis, the segmentation accuracy is measured by the intersection/union criterion (as in [4]) of the PASCAL VOC challenge [20].…”

Section: Resultsmentioning

confidence: 99%

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Shape-Based Pedestrian Segmentation in Still Images

Jacques

Musse

2015

2015 IEEE International Symposium on Multimedia (ISM)

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Pedestrian segmentation is a problem of considerable practical interest. In this work we propose a shape-based model for pedestrian segmentation. Our model is initialized by a bounding-box of the person under analysis, which can be estimated by a person detector. The basic idea of the proposed model is to create a graph around the detected person, based on a scale invariant shape model and the estimated contour is given by a path in the graph that maximizes certain boundary energy. In practice, such energy should be large in the boundary between the foreground/background. To cope with pose/shape variations, the final estimate is given by a selection scheme, which takes into consideration the individual estimate given by different generated graphs. Experimental results indicated that the proposed technique works well in non trivial images, with comparable accuracy to the state-ofthe-art.

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Section: Resultsmentioning

confidence: 99%

“…In addition, the proposed model is executed without appearance cues (e.g., color or texturebased features) as most state-of-the-art models do. Such characteristic could be taken into consideration when color cues are missed or weakened (e.g., at night conditions or when infrared/thermal cameras are employed [10]). …”

Section: Introductionmentioning

confidence: 99%

Shape-Based Pedestrian Segmentation in Still Images

Jacques

Musse

2015

2015 IEEE International Symposium on Multimedia (ISM)

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“…Another dataset that also mainly contains warm objects moving against cold backgrounds without any occlusions is the LITIV dataset [17]. The included sequences are heavily compressed, resulting in severe compression artifacts.…”

Section: Related Workmentioning

confidence: 99%

A thermal Object Tracking benchmark

Berg

Ahlberg

Felsberg

2015

2015 12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)

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Short-term single-object (STSO) tracking in thermal images is a challenging problem relevant in a growing number of applications. In order to evaluate STSO tracking algorithms on visual imagery, there are de facto standard benchmarks. However, we argue that tracking in thermal imagery is different than in visual imagery, and that a separate benchmark is needed. The available thermal infrared datasets are few and the existing ones are not challenging for modern tracking algorithms. Therefore, we hereby propose a thermal infrared benchmark according to the Visual Visual Object Tracking (VOT) protocol for evaluation of STSO tracking methods. The benchmark includes the new LTIR dataset containing 20 thermal image sequences which have been collected from multiple sources and annotated in the format used in the VOT Challenge. In addition, we show that the ranking of different tracking principles differ between the visual and thermal benchmarks, confirming the need for the new benchmark.

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“…Human tracking systems using fused images are proposed in [176,200,1]. [105] uses visual stereo cameras and a thermal camera, while [99,100,14] test different combinations of stereo and single cameras of both colour and thermal types.…”

Section: Image Fusionmentioning

confidence: 99%

Thermal cameras and applications: a survey

Gade

Moeslund

2013

Machine Vision and Applications

592

269

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Thermal cameras are passive sensors that capture the infrared radiation emitted by all objects with a temperature above absolute zero. This type of camera was originally developed as a surveillance and night vision tool for the military, but recently the price has dropped, significantly opening up a broader field of applications. Deploying this type of sensor in vision systems eliminates the illumination problems of normal greyscale and RGB cameras.This survey provides an overview of the current applications of thermal cameras. Applications include animals, agriculture, buildings, gas detection, industrial, and military applications, as well as detection, tracking, and recognition of humans. Moreover, this survey describes the nature of thermal radiation and the technology of thermal cameras.

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An iterative integrated framework for thermal–visible image registration, sensor fusion, and people tracking for video surveillance applications

Cited by 148 publications

References 16 publications

Shape-Based Pedestrian Segmentation in Still Images

Shape-Based Pedestrian Segmentation in Still Images

A thermal Object Tracking benchmark

Thermal cameras and applications: a survey

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