On March 26, the Intelligence Advanced
Research Projects Activity posted a request for information for Camera Network
Research Data Collection. Responses are due by 12:00 p.m. Eastern on May 10.
This RFI seeks
capability statements relating to the collection of research data from
multi-camera video networks in support of computer vision research. Over the
past five years, there have been notable advances in computer vision approaches
to facilitate tracking and re-identification of persons in security camera
networks. However, the primary datasets available to the research community for
algorithm training and performance evaluations, while incredibly valuable, are
somewhat limited in subject count, camera network scope, and environmental
factors, resulting in a disconnect between the data being leveraged by
researchers and the types of video data that would exist in actual video
networks utilized by public safety and law enforcement entities. Further
research in the area of computer vision within multi-camera video networks may
support post-event crime scene reconstruction, protection of critical
infrastructure and transportation facilities, military force protection, and in
the operations of National Special Security Events.
This RFI seeks approaches, capabilities, and previous
experience related to the ability to carry out a potential video research data
collection with the following characteristics:
· Data
from a large camera network containing a minimum of twenty (20) video feeds of
varying positions, views, resolutions, and frame rates with both overlapping
and non-overlapping fields of view;
· Data
captured over a large region (~10,000 sq. meters) with multiple intersections,
paths for pedestrian foot traffic, and buildings entrances/exits;
· Data
collected in an urban or semi-urban environment with distractors and occlusions
representative of real-world conditions, such as signs, vehicles (parked and
moving), trees, and other obstructions;
· Data
collected over multiple days with varying illumination and weather conditions;
· Data
involving a minimum of 5,000 pedestrians;
· Data
involving a minimum of 200 subject volunteers injected into the camera network
view and given instructions on how to behave and/or where to go in the camera
network;
·
Annotations for all video footage detailing ground-truth bounding boxes of each
person in each frame of each camera view to facilitate research, development,
test, and evaluation of person tracking and re-identification algorithms;
·
Minimum video footage for the entire dataset totaling an estimated 960 hours
(20 cameras x 12 hrs/day x 4 days);
· A dataset that is permissible to be released to the general research community under a privacy, legal, and policy approved data release process.
Full information is available here.
Source: FedBizOpps
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