Showing papers on "Object detection published in 1981"

Multiple zone object detection system

Abstract: Apparatus utilizing a combination energy transmitting and energy receiving transducer or a transducer set consisting of separate energy transmitting and energy receiving transducers, are employed to detect and subsequently indicate the presence of an object(s) within one or more of a plurality of spaced-apart spacial zones.

Sonar image processing: An application of template matching through relaxation

Abstract: This paper dlscusses the use of high-level templates and relaxation techniques in processing side-scan sonar images. The images examined do not have enough resolution to identify the objects individually. Distances and orientations among groups of objects are stable, however, and provide the information necessary to unambiguously identify each object. The identified targets are then used to provide navigation information for underwater vehicles. Much of the work described is an application and refinement of established techniques, most directly those of Davis. Low-level filtering, template matching, relaxation and M. search are all discussed.

Coating system control having a sensor interface with noise discrimination

Abstract: A sensor circuit in a system for automatically coating objects with a coating material wherein the coating material is discharged onto objects moving in a path relative to a discharge station in response to a control signal. A sensor detects the presence of an object at a point along the path upstream of the discharge station and produces an object detection signal which is processed by the sensor circuit to produce a sensor signal. The sensor signal is used by a timing and driver circuit to provide a delayed control signal to the coating material discharge apparatus, after an appropriate delay, for a desired duration. The sensor circuit includes an integrator for integrating the object detection signal produced by the sensor and a trigger circuit coupled to the integrator for providing a substantially rectangular wave output derived from the integrated object detection signal. The rectangular wave output is coupled to the timing and driver circuit to produce the delayed control signal for the discharge of the coating material.

Device for view-taking with extended field

Abstract: The invention relates to the field of optical detection of objets.etendus. It relates to a shooting device comprising a coherent light source (2) from which we form an illumination beam (4) of the object (10) and a pump radiation (5), and a detection device (7); it further includes an interaction medium (1 for receiving the wave emerging from the object (10) illuminated and the pump wavelength which is a part of network layers; this medium (1) diffracts a realtime replica of the object wave which is adapted to it in phase. Application, including avionics, optical object detection and infrared imaging.

Optical real-time viewing system with scanning

Abstract: The invention relates to the field of optical detection of extended objects. Its subject is an optical observation system comprising means for lighting by scanning the object (20) and means for detecting (23) the radiation diffracted by the object (20); it further comprises an interaction medium (1) in which the wave emerging from the object (20) interferes with a pump wave (6), to induce therein a network of strata which diffracts in real time a replica of the object wave propagating in the direction of this wave and a conjugate complex wave propagating in the opposite direction; these waves, isomorphic of the object wave contributing to improve the detection of the object. Application to optical object detection and infrared imagery.

Object Detection in Infrared Images

Abstract: This paper describes algorithms for detecting and classifying objects such as tanks and trucks in forward-looking infrared (FLIR) imagery. It summarizes research conducted in the course of a two-year project in the areas of image modeling, pre- and post-processing, segmentation, feature extraction, and classification.

A General Purpose Image Processing Architecture For "real-time" And Near "real-time" Image Exploitation

Abstract: It is of increasing importance to be able to evaluate and exploit both tactical environmental and strategic imagery data types in a "real-time" interactive scenario. approach to accomplishing both destructive and non-destructive processing of high resolution imagery via a microprogrammed machine and dedicated hardwired logic. An existing architecture is presented and some techniques which are implemented on the general purpose processor are described. These techniques include: transform processing, enhancements, target detection, feature extraction, and rectification of both satellite data and reconnaissance imagery. An extension into "real-time" pipelined and paralleled architectures utilizing projected VLSI technologies is also projected. This paper deals with an

Image reconstruction techniques and target detection

Abstract: Image reconstruction from projections has been extensively studied in radioastronomy and medical imaging. The same techniques can be applied to multiple target detection tasks such as radar or sonar signal processing. However, in medical imaging and radioastronomy, the images to be reconstructed are generally "compact" and the ratio between the required image size and resolution is small compared to that of the target detection problem where the images are sparse and fine resolution is required. Therefore a larger number of basis functions will be necessary to discretize the general image. Thus medical image reconstruction techniques applied directly to target detection can result in excessive memory requirements, computational time and required number of measurements. With modifications that consider the sparseness and positiveness of the images, reconstruction techniques have a potentially valuable application in the multiple target detection problem. In this paper we propose two modifications of the medical image reconstruction technique for the multi-target detection problem. One consists of pre-processing the data in order to reduce the total image to a smaller set of regions likely to contain targets. The second consists of dividing the image into pixels much larger than the expected size of a target and estimating the total target intensity for each pixel.