Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Subhodev Das"'
Publikováno v:
ICIP
We present a novel method for vehicle detection and classification in aerial imagery. First, change detection analyzes a pair of mutually aligned images captured at the same location but at different time instants to generate vehicle proposals. Next,
Publikováno v:
ICIP
Change detection in aerial imagery is challenging due to the effects of platform movements, atmospheric degradation and unpredictable photometric or thermal variations of the scene. We introduce an aerial change detection system built around multiple
Autor:
Subhodev Das, Narendra Ahuja
Publikováno v:
Artificial Intelligence. 83(2):241-266
This paper is concerned with the problem of surface reconstruction from stereo images for large scenes having large depth ranges with depth discontinuities. The passive stereo paradigm is inadequate for this problem because of the need to aim cameras
Autor:
Subhodev Das, Narendra Ahuja
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 17:1213-1219
This paper compares the performances of the binocular cues of stereo and vergence, and the monocular cue of focus for range estimation using an active vision system. The performance of each cue is characterized in terms of sensitivity to errors in th
Autor:
Narendra Ahuja, Subhodev Das
Publikováno v:
Sadhana. 18:223-238
This paper is concerned with the problem of surface reconstruction from stereo images for large scenes having large depth ranges. The passive stereo paradigm is inadequate for this problem because of the need to aim cameras in different directions an
Publikováno v:
SPIE Proceedings.
This paper presents a real time system for tracking multiple ground moving targets in aerial video. The state of a target is described by its kinematics as well as shape and appearance features: the kinematics include location and velocity in an eart
Autor:
Subhodev Das, Narendra Ahuja
Publikováno v:
ICCV
Consideration is given to the problem of surface reconstruction from stereo images for large scenes having large depth ranges where it is necessary to aim cameras in different directions and to fixate at different objects. The authors concentrate on
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Conference
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