Generating Dynamic Projection Images for Scene Representation and Understanding

Zheng, Jiang Yu; Tsuji, Saburo

doi:10.1006/cviu.1998.0678

Cited by 40 publications

(15 citation statements)

References 19 publications

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“…We create an image I(t,l) named the temporal slice by sampling pixels on this line continuously and stacking the sampled 1D arrays consecutively, where l ∈[0, h] is the coordinate on l s and t is the time or image frame [3,8,14]. As targets move across the plane of sight formed by the sampling line, they will leave shapes or traces in the temporal slice, because different parts of the object are exposed to the sampling line in order.…”

Section: Temporal and Spatial Events Captured In A Temporal Profilementioning

confidence: 99%

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Temporal mapping of surveillance video for indexing and summarization

Bagheri

Zheng

Sinha

2016

Computer Vision and Image Understanding

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This work converts the surveillance video to a temporal domain image called temporal profile that is scrollable and scalable for quick searching of long surveillance video by human operators. Such a profile is sampled with linear pixel lines located at critical locations in the video frames. It has precise time stamp on the target passing events through those locations in the field of view, shows target shapes for identification, and facilitates the target search in long videos. In this paper, we first study the projection and shape properties of dynamic scenes in the temporal profile so as to set sampling lines. Then, we design methods to capture target motion and preserve target shapes for target recognition in the temporal profile. It also provides the uniformed resolution of large crowds passing through so that it is powerful in target counting and flow measuring. We also align multiple sampling lines to visualize the spatial information missed in a single line temporal profile. Finally, we achieve real time adaptive background removal and robust target extraction to ensure long-term surveillance. Compared to the original video or the shortened video, this temporal profile reduced data by one dimension while keeping the majority of information for further video investigation. As an intermediate indexing image, the profile image can be transmitted via network much faster than video for online video searching task by multiple operators. Because the temporal profile can abstract passing targets with efficient computation, an even more compact digest of the surveillance video can be created.

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Section: Temporal and Spatial Events Captured In A Temporal Profilementioning

confidence: 99%

“…The blending formula used in Eq. (8) guarantees that if a sampling slice contains background stripes it will not occlude the extracted foreground objects (utilizing a mask noted maski). If the value of maski is zero at a position, the color value in Pi-1 is used.…”

Section: Visualizing Positions In Temporal Profile With Transparencymentioning

confidence: 99%

Temporal mapping of surveillance video for indexing and summarization

Bagheri

Zheng

Sinha

2016

Computer Vision and Image Understanding

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“…Since recognizing lighting source directly in the video impose a heavy computational and recognition difficulties, using road temporal profile is the best approach [25].…”

Section: Temporal Profile In Low Illuminance Environmentmentioning

confidence: 99%

Modeling of Low Illuminance Road Lighting Condition Using Road Temporal Profile

Dong

2016

SAE Technical Paper Series

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“…The early version of the route panorama is called generalized panoramic views (GPV), first invented for mobile robot navigation. 1,4,5 The GPV is a special case of a more general image representation called dynamic projection image, 6 which comprise many slit views taken at different time instances when the camera moves along a path or a static camera looks at a dynamic flow. On the display aspect, Li 7 has associated the generated panoramic views with a global positioning system (GPS) for navigation in an urban area.…”

Section: Introductionmentioning

confidence: 99%

Mapping cityscapes into cyberspace for visualization

Zheng

Shi²

2005

Computer Animation & Virtual

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This work establishes a cyberspace of a real urban area for visiting on the Internet. By registering entire scenes along every street and at many locations, viewers can visually travel around and find their destinations in cyberspace. The issues we discuss here are mapping of a large-scale area to image domains in a small amount of data, and effective display of the captured scenes for various applications. Route Panoramas captured along streets and panoramic views captured at widely opening sites are associated to a city map to provide navigation functions. This paper focuses on the properties of our extended images-route panorama, addressing the archiving process applied to an urban area, an environment developed to transmit image data as streaming media, and display for scene traversing on the WWW in real time. The created cyberspaces of urban areas have broad applications such as city tour, real estate searching, e-commerce, heritage preservation, urban planning and construction, and vehicle navigation.

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Generating Dynamic Projection Images for Scene Representation and Understanding

Cited by 40 publications

References 19 publications

Temporal mapping of surveillance video for indexing and summarization

Temporal mapping of surveillance video for indexing and summarization

Modeling of Low Illuminance Road Lighting Condition Using Road Temporal Profile

Mapping cityscapes into cyberspace for visualization

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