+++ title = "A Person Re-Identification System For Mobile Devices" date = 2015-09-01T00:00:00 # Authors. Comma separated list, e.g. `["Bob Smith", "David Jones"]`. authors = ["GA Cushen"] # Publication type. # Legend: # 0 = Uncategorized # 1 = Conference paper # 2 = Journal article # 3 = Manuscript # 4 = Report # 5 = Book # 6 = Book section publication_types = ["2"] # Publication name and optional abbreviated version. publication = "In *Signal Image Technology & Internet Systems (SITIS)*, IEEE." publication_short = "In *SITIS*" # Abstract. abstract = "Person re-identification is a critical security task for recognizing a person across spatially disjoint sensors. Previous work can be computationally intensive and is mainly based on low-level cues extracted from RGB data and implemented on a PC for a fixed sensor network (such as traditional CCTV). We present a practical and efficient framework for mobile devices (such as smart phones and robots) where high-level semantic soft biometrics are extracted from RGB and depth data. By combining these cues, our approach attempts to provide robustness to noise, illumination, and minor variations in clothing. This mobile approach may be particularly useful for the identification of persons in areas ill-served by fixed sensors or for tasks where the sensor position and direction need to dynamically adapt to a target. Results on the BIWI dataset are preliminary but encouraging. Further evaluation and demonstration of the system will be available on our website." # Summary. An optional shortened abstract. summary = "" # Digital Object Identifier (DOI) doi = "" # Is this a featured publication? (true/false) featured = false # Tags (optional). # Set `tags = []` for no tags, or use the form `tags = ["A Tag", "Another Tag"]` for one or more tags. tags = [] # Projects (optional). # Associate this publication with one or more of your projects. # Simply enter your project's folder or file name without extension. # E.g. `projects = ["deep-learning"]` references # `content/project/deep-learning/index.md`. # Otherwise, set `projects = []`. projects = [] # Slides (optional). # Associate this publication with Markdown slides. # Simply enter your slide deck's filename without extension. # E.g. `slides = "example-slides"` references # `content/slides/example-slides.md`. # Otherwise, set `slides = ""`. slides = "example-slides" # Links (optional). url_pdf = "http://arxiv.org/pdf/1512.04133v1" url_preprint = "" url_code = "" url_dataset = "" url_project = "" url_slides = "" url_video = "" url_poster = "" url_source = "" # Custom links (optional). # Uncomment line below to enable. For multiple links, use the form `[{...}, {...}, {...}]`. # links = [{name = "Custom Link", url = "http://example.org"}] # Does this page contain LaTeX math? (true/false) math = true # Featured image # To use, add an image named `featured.jpg/png` to your page's folder. [image] # Caption (optional) caption = "Image credit: [**Unsplash**](https://unsplash.com/photos/jdD8gXaTZsc)" # Focal point (optional) # Options: Smart, Center, TopLeft, Top, TopRight, Left, Right, BottomLeft, Bottom, BottomRight focal_point = "" +++ More detail can easily be written here using *Markdown* and $\rm \LaTeX$ math code.