We present a novel method to improve individual identification of animals based on camera‐trapping data. The method combines computer tools and human visual recognition to help multiple users to reach identification agreement. Application of this method to a bobcat (Lynx rufus) picture database from the Jasper Ridge Biological Preserve resulted in a progressive increase in identification agreement between 2 users, as measured by the adjusted Rand index (ARI). An initial ARI value of 0.28 increased to a final value of 0.84 (1 = maximum agreement). In contrast, comparisons involving random picture groupings consistently rendered low ARI values (≤0.05). The numbers of individuals named by the 2 users decreased from initial values of 46 and 43 to final values of 25 and 29, respectively. The tool presented here will help researchers and wildlife managers to identify individual mammals and monitor populations. © 2011 The Wildlife Society.

Video processing is increasingly becoming a standard procedure in zebrafish behavior investigations as it enables higher research throughput and new or better measures. This trend, fostered by the ever increasing performance-to-price ratio of the required recording and processing equipment, should be expected to continue in the foreseeable future, with video-processing based methods permeating more and more experiments and, as a result, expanding the very role of behavioral studies in zebrafish research. To assess whether the routine video tracking of zebrafish larvae directly in the Petri dish is a capability that can be expected in the near future, the key processing concepts are discussed and illustrated on published zebrafish studies when available or other animals when not.