Special Issue "Selected Papers from the ISPRS Tracking and Imaging Challenge 2014"
A special issue of ISPRS International Journal of Geo-Information (ISSN 2220-9964).
Deadline for manuscript submissions: closed (15 January 2015)
The ISPRS Tracking and Imaging Challenge 2014 (TIC’14) has inspired research amongst academic communities such as computer vision, photogrammetry, spatial computing, robotics, and GIScience. With TIC’14 behind us, we are now openly inviting papers adhering to the TIC’14 specifications for the Special Issue of the ISPRS International Journal of Geo-Information.
TIC’14 required that two types of data are linked in innovative ways, namely trajectory data, as it is captured, for example, from mobile positioning sensors, smart cards, or e-tags, and image data as it is captured, for example, from tourist photos on Flickr, smartphones, CCTV, or car mounted cameras. You may even think of wearable computing. Only two conditions were imposed:
The presented solution must fundamentally require both types of data, i.e., cannot be realized with one data set alone.
The set task must demonstrate strong and novel benefits from integrating these two data sets.
The combination of the data sets can happen at any level of processing, from sensing through analysis to communicating derived information. Applications can be chosen in any field, for example (but without preference) urban informatics, transportation research, natural environment observation and management, or marine applications. They could aim, for example (again, without preference), to track individuals, vehicles, or crowds in physical or social environments, to analyze movement or activity patterns or densities, or to communicate observed dynamics of movement or activities. Goals could be, for example:
To close the semantic gap between trajectories and movement explanation.
To analyze human social behavior or environmental response while moving.
To interpret trajectories from image sequences.
To communicate routes by pictures.
To analyze changes in the environment.
Details of TIC’14 can be found at http://www2.isprs.org/commissions/comm2/wg8/tic.html.
Paper submissions for the special issue must be received by 15 January 2015. All instructions can be found at http://www.mdpi.com/journal/ijgi/special_issues/tracking_imaging. Please note that the journal is an open access journal, however, no processing fees will be charged for this special issue.
Open Call-for-Paper: http://www.mdpi.com/files/si/ijgi_tic_open_cfp.pdf
Prof. Stephan Winter
Dr. Alper Yilmaz
Prof. Monika Sester
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. ISPRS International Journal of Geo-Information is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- ISPRS challenge
- sensor data