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نویسندگان
چکیده
The Video Analysis and Content Extraction (VACE) program supported the development of several key component technologies which could be integrated into systems for automatic analysis of human activities and understanding of video sequences. In order to measure system performance and gauge research progress, a series of evaluations focusing on 15 evaluation tasks were administered in this program during Phase II. Our earlier paper titled “Framework for Performance Evaluation of Face, Text, and Vehicle Detection and Tracking in Video: Data, Metrics, and Protocol” described how the individual aspects of evaluation were accomplished through a consistent employment of a formal infrastructure that consists of a set of data, metrics, tools, and processes required for evaluation. Six evaluation tasks were described. In this follow up article, we detail the remaining nine evaluation tasks. We show that, with minor adaptation, the generic framework proposed earlier can be extended to other target objects in various data domains. Additionally, we report the latest scoring tools we have developed in the context of detection and tracking evaluation. It is our intention that this paper, together with our earlier publication, will serve as a complete report of the various evaluations that were conducted as part of the VACE program.
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