2014
DOI: 10.1016/j.cviu.2013.12.012
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Exploiting projective geometry for view-invariant monocular human motion analysis in man-made environments

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Cited by 10 publications
(10 citation statements)
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“…Projective transformation, or homography, is an established approach for correcting perspective distortion [13], but this traditional approach requires the vanishing point to be manually specified. Rogez et al [14,3] used vertical scene lines to estimate the vanishing point and localize the reconstructed poses based on the vanishing point, but their approach still requires manual determination of which lines are vertical. Our homography step is similar to Rogez et al's, except we determine the vanishing point based on the altitude and angle of the camera.…”
Section: Perspective Correctionmentioning
confidence: 99%
See 1 more Smart Citation
“…Projective transformation, or homography, is an established approach for correcting perspective distortion [13], but this traditional approach requires the vanishing point to be manually specified. Rogez et al [14,3] used vertical scene lines to estimate the vanishing point and localize the reconstructed poses based on the vanishing point, but their approach still requires manual determination of which lines are vertical. Our homography step is similar to Rogez et al's, except we determine the vanishing point based on the altitude and angle of the camera.…”
Section: Perspective Correctionmentioning
confidence: 99%
“…The perspective correction module compensates for perspective distortion in aerial videos using a projective transformation technique similar to [1,2,3]. Instead of one homography matrix, pre-annotated homography matrices are used for different levels of distortion caused by different camera elevation angles.…”
Section: Introductionmentioning
confidence: 99%
“…In this study, we restrict ourselves to monocular vision with single images of the streets. Different cues of depth can be present in monocular vision such as textures, shadows, defocus [40], parallel lines [41] producing in a projective geometry the presence of vanishing point on the horizon line, repetition of similar objects at different distances from the camera.…”
Section: Impact Of Vegetation On Monocular Depth Cuesmentioning
confidence: 99%
“…Existing work on the same dataset either employs clustering algorithms with GPU optimisation [25], or focusses on motion analysis by matching trained silhouette models [28]. We differ significantly from these previous works: we developed an accurate tracking framework in which we can employ a highly accurate pedestrian detector on these challenging images, and thus perform much better than existing methods.…”
Section: Related Workmentioning
confidence: 99%