From images via symbols to contexts: using augmented reality for interactive model acquisition

Systems that perform in real environments need to bind the internal state to externally perceived objects, events, or complete scenes. How to learn this correspondence has been a long standing problem in computer vision as well as artificial intelligence. Augmented Reality provides an interesting perspective on this problem because a human user can directly relate displayed system results to real environments. In the following we present a system that is able to bootstrap internal models from user-system interactions. Starting from pictorial representations it learns symbolic object labels that provide the basis for storing observed episodes. In a second step, more complex relational information is extracted from stored episodes that enables the system to react on specific scene contexts

2.5D multi-view gait recognition based on point cloud registration

This paper presents a method for modeling a 2.5-dimensional (2.5D) human body and extracting the gait features for identifying the human subject. To achieve view-invariant gait recognition, a multi-view synthesizing method based on point cloud registration (MVSM) to generate multi-view training galleries is proposed. The concept of a density and curvature-based Color Gait Curvature Image is introduced to map 2.5D data onto a 2D space to enable data dimension reduction by discrete cosine transform and 2D principle component analysis. Gait recognition is achieved via a 2.5D view-invariant gait recognition method based on point cloud registration. Experimental results on the in-house database captured by a Microsoft Kinect camera show a significant performance gain when using MVSM

Chimpanzee Rights: The Philosophers' Brief

In December 2013, the Nonhuman Rights Project (NhRP) filed a petition for a common law writ of habeas corpus in the New York State Supreme Court on behalf of Tommy, a chimpanzee living alone in a cage in a shed in rural New York (Barlow, 2017). Under animal welfare laws, Tommy’s owners, the Laverys, were doing nothing illegal by keeping him in those conditions. Nonetheless, the NhRP argued that given the cognitive, social, and emotional capacities of chimpanzees, Tommy’s confinement constituted a profound wrong that demanded remedy by the courts. Soon thereafter, the NhRP filed habeas corpus petitions on behalf of Kiko, another chimpanzee housed alone in Niagara Falls, and Hercules and Leo, two chimpanzees held in research facilities at Stony Brook University. Thus began the legal struggle to move these chimpanzees from captivity to a sanctuary, an effort that has led the NhRP to argue in multiple courts before multiple judges. The central point of contention has been whether Tommy, Kiko, Hercules, and Leo have legal rights. To date, no judge has been willing to issue a writ of habeas corpus on their behalf. Such a ruling would mean that these chimpanzees have rights that confinement might violate. Instead, the judges have argued that chimpanzees cannot be bearers of legal rights because they are not, and cannot be persons. In this book we argue that chimpanzees are persons because they are autonomous

Categories as paradigms for comparative cognition

Forming categories is a basic cognitive operation allowing animals to attain concepts, i.e. to represent various classes of objects, natural or artificial, physical or social. Categories can also be formed about the relations holding among these objects, notably similarity and identity. Some of the cognitive processes involved in categorisation will be enumerated. Also, special reference will be made to a much neglected area of research, that of social representations. Here, animals conceive the natural class of their conspecifics as well as the relationships established between them in groups. Two types of social categories were mentioned: (1) intraspecies recognition including recognition of individual conspecifics; and (2) representation of dominance hierarchies and of their transitivity in linear orders

The Future of Emotional Harm

Why should tort law treat claims for emotional harm as a second-class citizen? Judicial skepticism about these claims is long entrenched, justified by an amalgam of perceived problems ranging from proof difficulties for causation and the need to constrain fraudulent claims, to the ubiquity of the injury, and a concern about open-ended liability. To address this jumble of justifications, the law has developed a series of duty limitations to curb the claims and preclude them from reaching the jury for individualized analysis. The limited duty approach to emotional harm is maintained by the latest iteration of the Restatement (Third) of Torts. This Article argues that many of the justifications for curtailing this tort have been discredited by scientific developments. In particular, the rapid advances in neuroscience give greater insight into the changes that occur in the brain from emotional harm. Limited duty tests should no longer be used as proxies for validity or justified by the presumed untrustworthiness of the claim. Instead, validity evidence for emotional harm claims—like evidence of physical harm—should be entrusted to juries. This approach will reassert the jury’s role as the traditional factfinder, promote corrective justice and deterrence values, and lead to greater equity for negligent infliction of emotional distress (NIED) claimants. The traditional limitations on tort recovery, including the rules of evidence and causation, are more than adequate to avoid opening the floodgates to emotional distress claims

The Future of Emotional Harm

Why should tort law treat claims for emotional harm as a second-class citizen? Judicial skepticism about these claims is long entrenched, justified by an amalgam of perceived problems ranging from proof difficulties for causation and the need to constrain fraudulent claims, to the ubiquity of the injury, and a concern about open-ended liability. To address this jumble of justifications, the law has developed a series of duty limitations to curb the claims and preclude them from reaching the jury for individualized analysis. The limited duty approach to emotional harm is maintained by the latest iteration of the Restatement (Third) of Torts. This Article argues that many of the justifications for curtailing this tort have been discredited by scientific developments. In particular, the rapid advances in neuroscience give greater insight into the changes that occur in the brain from emotional harm. Limited duty tests should no longer be used as proxies for validity or justified by the presumed untrustworthiness of the claim. Instead, validity evidence for emotional harm claims—like evidence of physical harm—should be entrusted to juries. This approach will reassert the jury’s role as the traditional factfinder, promote corrective justice and deterrence values, and lead to greater equity for negligent infliction of emotional distress (NIED) claimants. The traditional limitations on tort recovery, including the rules of evidence and causation, are more than adequate to avoid opening the floodgates to emotional distress claims

An Appearance-Based Framework for 3D Hand Shape Classification and Camera Viewpoint Estimation

An appearance-based framework for 3D hand shape classification and simultaneous camera viewpoint estimation is presented. Given an input image of a segmented hand, the most similar matches from a large database of synthetic hand images are retrieved. The ground truth labels of those matches, containing hand shape and camera viewpoint information, are returned by the system as estimates for the input image. Database retrieval is done hierarchically, by first quickly rejecting the vast majority of all database views, and then ranking the remaining candidates in order of similarity to the input. Four different similarity measures are employed, based on edge location, edge orientation, finger location and geometric moments.National Science Foundation (IIS-9912573, EIA-9809340

Working Memory Networks for Learning Temporal Order, with Application to 3-D Visual Object Recognition

Working memory neural networks are characterized which encode the invariant temporal order of sequential events. Inputs to the networks, called Sustained Temporal Order REcurrent (STORE) models, may be presented at widely differing speeds, durations, and interstimulus intervals. The STORE temporal order code is designed to enable all emergent groupings of sequential events to be stably learned and remembered in real time, even as new events perturb the system. Such a competence is needed in neural architectures which self-organize learned codes for variable-rate speech perception, sensory-motor planning, or 3-D visual object recognition. Using such a working memory, a self-organizing architecture for invariant 3-D visual object recognition is described. The new model is based on the model of Seibert and Waxman (1990a), which builds a 3-D representation of an object from a temporally ordered sequence of its 2-D aspect graphs. The new model, called an ARTSTORE model, consists of the following cascade of processing modules: Invariant Preprocessor --> ART 2 --> STORE Model --> ART 2 --> Outstar Network.Defense Advanced Research Projects Agency (90-0083); British Petroleum (89-A1-1204); National Science Foundation (IRI 90-00530, IRI 87-16960); Air Force Office of Scientific Research (90-128, 90-0175