Estimation of Object Motion Parameters from Noisy Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape and motion from image streams under orthography: a factorization method
International Journal of Computer Vision
Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
Artificial Intelligence - Special volume on computer vision
SUSAN—A New Approach to Low Level Image Processing
International Journal of Computer Vision
On the Optimization Criteria Used in Two-View Motion Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Graph Matching With a Dual-Step EM Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Spherical Mosaics with Quaternions and Dense Correlation
International Journal of Computer Vision
A critique of structure-from-motion algorithms
Computer Vision and Image Understanding
Multiple view geometry in computer vision
Multiple view geometry in computer vision
Epipolar Geometry in Stereo, Motion, and Object Recognition: A Unified Approach
Epipolar Geometry in Stereo, Motion, and Object Recognition: A Unified Approach
A multistage filtering technique to detect hazards on the ground plane
Pattern Recognition Letters
Preemptive RANSAC for Live Structure and Motion Estimation
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Photo tourism: exploring photo collections in 3D
ACM SIGGRAPH 2006 Papers
Monocular model-based 3D tracking of rigid objects
Foundations and Trends® in Computer Graphics and Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
MonoSLAM: Real-Time Single Camera SLAM
IEEE Transactions on Pattern Analysis and Machine Intelligence
General Tensor Discriminant Analysis and Gabor Features for Gait Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Three-View Multibody Structure from Motion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Sequential Kernel Density Approximation and Its Application to Real-Time Visual Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Perspective n-view multibody structure-and-motion through model selection
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
International Journal of Computer Applications in Technology
Fast communication: Analysis and improvement of SUSAN algorithm
Signal Processing
Independent motion detection in the light of the aperture problem
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part I
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We present a strategy based on human gait to achieve efficient tracking, recovery of ego-motion and 3-D reconstruction from an image sequence acquired by a single camera attached to a pedestrian. In the first phase, the parameters of the human gait are established by a classical frame-by-frame analysis, using an generalized least squares (GLS) technique. The gait model is non-linear, represented by a truncated Fourier series. In the second phase, this gait model is employed within a ''predict-correct'' framework using a maximum a posteriori, expectation-maximization (MAP-EM) strategy to obtain robust estimates of the ego-motion and scene structure, while continuously refining the gait model. Experiments on synthetic and real image sequences show that the use of the gait model results in more efficient tracking. This is demonstrated by improved matching and retention of features, and a reduction in execution time, when processing video sequences.