Target tracking in open world scenes using motion cues and target dynamics

Teal, M.K.; Ellis, Tim

doi:10.1049/cp:19950664

Cited by 3 publications

(1 citation statement)

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“…Feature based geometric model matching, [2,4,10] has been shown to be very successful for identifying and tracking objects moving within a open world image, where the objects to be tracked occupy a significant proportion of the image; however they are less successful when the object to be tracked is further away from the camera and hence only occupying a small proportion of the image. In this case it has been found that the matching of crude object descriptors is more robust, [1,3].…”

Section: Introductionmentioning

confidence: 93%

Spatial-Temporal Reasoning Based on Object Motion

Teal

Ellis²

1996

Procedings of the British Machine Vision Conference 1996

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This paper describes the continuing development of a system for tracking multiple man made objects, (typically vehicles) moving in a natural open world scene, where the detected motion is used to construct a structural representation of the scene. The system assumes no a priori knowledge of any structure within the image, but begins building a map of the scene on a frame by frame basis. The map shows regions in the image where vehicles are likely to be detected and regions where they are likely to become occluded. Tracking is complicated by the fact that the vehicles to be tracked are expected to be a large distance from the camera and as such will only occupy a small number of image pixels. The system has been tested using an input sequence of vehicles moving in a complex outdoor scene, where the vehicles undergo both full and partial occlusion.

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Section: Introductionmentioning

confidence: 93%

Spatial-Temporal Reasoning Based on Object Motion

Teal

Ellis²

1996

Procedings of the British Machine Vision Conference 1996

Self Cite

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show abstract

Moving object detection and recognition based on the frame difference algorithm and moment invariant features

Xiao

Chen

et al. 2008

2008 27th Chinese Control Conference

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The Application of the Moving Object Detection in HD Video Surveillance System

Lian

Liu

2013

AMM

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Today the existing image processing systems widely used standard definition resolution. Which is not enough distinct. High definition (HD) and intelligence gradually become the developing trend of the image acquisition and processing system. Motion detection plays an important role in video surveillance system. The sign distribution features will be covered up by the use of the absolute differential image. In this article, a method to determine the motion direction of moving objects by using the sign distribution features in the differential image of two consecutive frames is proposed. To extract the characteristics of the moving object regions,Other parts as the background image is still. The transmission should been stopped, if there is no moving object. These should save storage space and reduce the demand for network speed. Experimental results show that algorithm of the method is suitable for computer processing.

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Target tracking in open world scenes using motion cues and target dynamics

Cited by 3 publications

References 0 publications

Spatial-Temporal Reasoning Based on Object Motion

Spatial-Temporal Reasoning Based on Object Motion

Moving object detection and recognition based on the frame difference algorithm and moment invariant features

The Application of the Moving Object Detection in HD Video Surveillance System

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