From d9cc2b55975c0d2b064cec2f751da170c9c00eb8 Mon Sep 17 00:00:00 2001 From: adamhrv Date: Sat, 30 Mar 2019 15:42:20 +0100 Subject: editing... --- site/content/pages/datasets/duke_mtmc/index.md | 3 +++ .../datasets/uccs/assets/uccs_bboxes_clr_fill.jpg | Bin 0 -> 146050 bytes .../datasets/uccs/assets/uccs_bboxes_grayscale.jpg | Bin 0 -> 299802 bytes site/content/pages/datasets/uccs/index.md | 1 + 4 files changed, 4 insertions(+) create mode 100644 site/content/pages/datasets/uccs/assets/uccs_bboxes_clr_fill.jpg create mode 100644 site/content/pages/datasets/uccs/assets/uccs_bboxes_grayscale.jpg diff --git a/site/content/pages/datasets/duke_mtmc/index.md b/site/content/pages/datasets/duke_mtmc/index.md index 2989ed7c..86900007 100644 --- a/site/content/pages/datasets/duke_mtmc/index.md +++ b/site/content/pages/datasets/duke_mtmc/index.md @@ -34,10 +34,13 @@ authors: Adam Harvey {% include 'citations.html' %} + ---- ## Research Notes +- "We make available a new data set that has more than 2 million frames and more than 2,700 identities. It consists of 8×85 minutes of 1080p video recorded at 60 frames per second from 8 static cameras deployed on the Duke University campus during periods between lectures, when pedestrian traffic is heavy." - 27a2fad58dd8727e280f97036e0d2bc55ef5424c +- "This work was supported in part by the EPSRC Programme Grant (FACER2VM) EP/N007743/1, EPSRC/dstl/MURI project EP/R018456/1, the National Natural Science Foundation of China (61373055, 61672265, 61602390, 61532009, 61571313), Chinese Ministry of Education (Z2015101), Science and Technology Department of Sichuan Province (2017RZ0009 and 2017FZ0029), Education Department of Sichuan Province (15ZB0130), the Open Research Fund from Province Key Laboratory of Xihua University (szjj2015-056) and the NVIDIA GPU Grant Program." - ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b - "DukeMTMC aims to accelerate advances in multi-target multi-camera tracking. It provides a tracking system that works within and across cameras, a new large scale HD video data set recorded by 8 synchronized cameras with more than 7,000 single camera trajectories and over 2,000 unique identities, and a new performance evaluation method that measures how often a system is correct about who is where" - DukeMTMC is a new, manually annotated, calibrated, multi-camera data set recorded outdoors on the Duke University campus with 8 synchronized cameras. It consists of: diff --git a/site/content/pages/datasets/uccs/assets/uccs_bboxes_clr_fill.jpg b/site/content/pages/datasets/uccs/assets/uccs_bboxes_clr_fill.jpg new file mode 100644 index 00000000..c8002bb9 Binary files /dev/null and b/site/content/pages/datasets/uccs/assets/uccs_bboxes_clr_fill.jpg differ diff --git a/site/content/pages/datasets/uccs/assets/uccs_bboxes_grayscale.jpg b/site/content/pages/datasets/uccs/assets/uccs_bboxes_grayscale.jpg new file mode 100644 index 00000000..6e2833dd Binary files /dev/null and b/site/content/pages/datasets/uccs/assets/uccs_bboxes_grayscale.jpg differ diff --git a/site/content/pages/datasets/uccs/index.md b/site/content/pages/datasets/uccs/index.md index fe928308..afcef874 100644 --- a/site/content/pages/datasets/uccs/index.md +++ b/site/content/pages/datasets/uccs/index.md @@ -32,6 +32,7 @@ authors: Adam Harvey {% include 'citations.html' %} +![Bounding box visualization](assets/uccs_bboxes_grayscale.jpg) ### Research Notes -- cgit v1.2.3-70-g09d2