Estimating 3D-trajectories from Monocular Video Sequences
Citations
18 citations
Cites background or methods from "Estimating 3D-trajectories from Mon..."
..., when the direction of gravity, camera intrinsic, and extrinsic parameters are calibrated, it is true that q can be further decomposed to compute the object’s distance d and extend in all directions, which was the focus of previous studies [16, 23, 24, 17, 29]....
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...Our method is inspired by approaches that estimate the 3D trajectory of rigid objects in free fall [16, 23, 24, 17, 29]....
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3 citations
3 citations
Cites background from "Estimating 3D-trajectories from Mon..."
...Sköld [40] studied a similar problem, by inferring the 3D-trajectory of a golf ball using data only captured from one camera (a 2D-trajectory) and a database of 3D-trajectories with the corresponding 2D-trajectories....
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Cites background from "Estimating 3D-trajectories from Mon..."
...The tracking technology could be typified as a difficulty of evaluating the route of anthings in the image as it shiftsroughlyat the sight [1]....
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References
72,897 citations
"Estimating 3D-trajectories from Mon..." refers background in this paper
...Hochreiter and Schmidhuber [17] proposed a novel network called Long Short-TermMemory Network which overcomes that problem....
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14,282 citations
"Estimating 3D-trajectories from Mon..." refers background in this paper
...where x and X are given in homogeneous coordinates [15]....
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...Conversely, if both x and x′ are known, it is possible to calculate the exact position of point X, a method known as triangulation [15]....
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...It can be described algebraically by a 3× 3 matrix F called the fundamental matrix [15]....
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...is called the camera calibration matrix or intrinsic matrix [15]....
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...will be the corresponding 2D-point [15]....
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11,936 citations
"Estimating 3D-trajectories from Mon..." refers background or methods in this paper
...sequence-to-sequence-mapping, speech recognition and similar tasks [12, 27]....
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...Unfortunately, standard neural networks are inadequate to work with time series since they assume fixed size input [27]....
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...Artificial neural networks have been used in a variety of machine learning tasks with good results [27]....
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3,705 citations
"Estimating 3D-trajectories from Mon..." refers methods in this paper
...tive k-nearest neighbors query using locality sensitive hashing (LSH) [13]....
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2,082 citations
"Estimating 3D-trajectories from Mon..." refers background in this paper
...Indexes of the transformed sequences are commonly stored with multidimensional R-trees [1]....
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