Method and apparatus for detecting innovations in a scene
First Claim
1. A method for detecting innovations in a scene comprising an array of pixels, the method comprising the steps of:
- generating at each of a multitude of times, a set of input signals representing the amount of light incident on a group of adjacent pixels, each set of input signals forming an n by one vector, where n equals the number of signals in the set, the sets of input signals being represented by Zk, where k=1, 2, 3, . . . , m, and m equals the number of said input sets;
conducting the sets of input signals to a processing network;
the processing network transforming each set of input signals to a respective one set of output signals, the sets of output signals being represented by β
k, wherein Zk and Zk satisfy the relation Zk =Dβ
k +ek , where D is an at least four by an at least three matrix, and ek represents noise in the set of signals Zk ;
conducting the sets of output signals to a detection means; and
the detection means,(i) sensing the magnitude of at least one signal of each set of output signals, and(ii) generating a detection signal to indicate a change in the scene when said one signal rises above a respective one preset level.
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Abstract
A method and apparatus for detecting innovations in a scene in an image of the type having a large array of pixels. The method comprises the step of generating a multitude of parallel signals representing the amount of light incident on a group of adjacent pixels (masks) and these signals may be considered as forming a n by one vector, Z, where n equals the number of pixels in the masks. L such groups of adjacent pixels or elementary masks are used to geometrically cover the entire image in parallel. The method further comprises the step of replicating the generating step a multitude of times to generate a multitude of Z vectors by taking multiple frames of observations of the image (scene). These Z vectors may be represented in the form Ak, where k equals 1,2,3, . . . , m, where m equals the number of replicates. Each of the Zk vectors are related to a vector βk of three parameters by a measurement equation in a linear model framework, i.e. Zk =Dβk +ek, where ek is an additive noise term. In one embodiment, a solution of the linear model yields the best estimates of the parameters βk =Dt Zk, where DT is a three by four matrix, βk is a three by one vector, and Zk is a four by one vector of the measurements. βk includes three components uk, Ak and βk. The values of uk, Ak, and Bk are monitored over time, and a signal is generated whenever any one of these variables rises above a respective preset level.
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Citations
19 Claims
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1. A method for detecting innovations in a scene comprising an array of pixels, the method comprising the steps of:
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generating at each of a multitude of times, a set of input signals representing the amount of light incident on a group of adjacent pixels, each set of input signals forming an n by one vector, where n equals the number of signals in the set, the sets of input signals being represented by Zk, where k=1, 2, 3, . . . , m, and m equals the number of said input sets; conducting the sets of input signals to a processing network; the processing network transforming each set of input signals to a respective one set of output signals, the sets of output signals being represented by β
k, wherein Zk and Zk satisfy the relation Zk =Dβ
k +ek , where D is an at least four by an at least three matrix, and ek represents noise in the set of signals Zk ;conducting the sets of output signals to a detection means; and the detection means, (i) sensing the magnitude of at least one signal of each set of output signals, and (ii) generating a detection signal to indicate a change in the scene when said one signal rises above a respective one preset level. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18)
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19. Apparatus for detecting innovations in a scene including an array of pixels, the apparatus comprising:
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source means to generate at each of a multitude of times, a set of input signals representing the amount of light incident on a set of adjacent pixels, each set of input signals forming an n by one vector, where n equals the number of signals in the set, the sets of input signals being represented by Zk, where k=1, 2, 3, . . . , m, and m equals the number of said input sets; a processing network coupled to said source means to receive said sets of input signals therefrom, and to transform each set of input signals to a respective one set of output signals, the sets of output signals being represented by β
k, wherein Zk and β
k satisfy the relation Zk =Dβ
k +ek, where D is an at least four by an at least three matrix, and ek represents noise in the set of signals Zk ; anddetection means coupled to said processing network to receive said sets of output signals therefrom, to sense the magnitude of at least one signal of each set of output signals, and to generate a detection signal to indicate a change in the scene when said one signal rises above a respective one present level.
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Specification